Reads as: riskier than 4.1% of the 14,684 facilities in the snf peer group. percentile within peer group, 100 = highest risk. Grade bands are fixed percentile cuts (F is the top 5% of peer risk), so a grade is a position, not an absolute level.
weighted_contribution sums to pre_rank_index over rows where counts_toward_index is true. The composite is the facility's percentile position of that index within its peer group, so contributions explain the input, and the rank explains the score.
Change-of-ownership footprint in the CMS Provider of Services file: control-family, legal-name and address deltas across quarterly snapshots, plus certification reset recency and Medicare tenure.
R23/W4-3. Deterministic logistic p(Medicare termination within 12m), SNF only. Label = first POS termination date (any code: voluntary closure, involuntary termination, merger exit); facilities already terminated by the panel date are excluded, not counted as safe. Trained on panels 2024-07/2024-10/2025-01 (n=46,466, 283 positives), evaluated on the held-out later panel 2025-04 BEFORE shipping: AUC 0.971, top-decile lift 9.5x, top-decile capture 95.4% of the 65 terminations that followed. Separability is high because closures announce themselves in the data: collapsing occupancy is the strongest signal, and the learned NEGATIVE weight on 12m deficiency counts is the surveys-stop signature of a facility winding down, not a claim that clean inspections are dangerous. Same 15 as-of-date features and anti-leakage chassis as p_chow_12m; SFF entry rejected as a label (only one month of SFF history exists, so as-of transitions cannot be reconstructed). Score = probability x 100; grade NULL. Not in any composite.
R22/W4-2. Deterministic logistic p(CHOW within 12m), SNF only. Trained on panels 2024-07/2024-10/2025-01 (n=50,700, 1,207 positives), evaluated on the held-out later panel 2025-04 BEFORE shipping: AUC 0.874, top-decile lift 5.0x (top 10% of predictions captured 49.6% of the CHOWs that actually closed in the next 12 months). Shipped coefficients are the evaluated ones; no post-holdout refit. Caveat: holdout positives (133) run below the training base rate because recent CHOWs surface in public records with a lag, so measured lift is conservative. Features are as-of-date public records: PBJ staffing level/trend/contract share (quarterly history to 2022Q1), deficiency and CMP counts (12m), ownership tenure and churn from CHOW-evidenced transactions, beds, occupancy, ownership type, chain size. Chain membership and ownership type are current-state (history not published). SFF and star ratings deliberately excluded (no as-of history). Notable learned direction: long ownership tenure RAISES sale odds and a recent prior CHOW lowers them. Score = probability x 100; grade is NULL because a probability is not a quality letter. Not in any composite.
Rows with counts_toward_composite false come from models that are addressable or retracted rather than default. They exist and may be informative, but they did not enter the published composite and must not be summed as though they had.
p_adverse_action_12m: probability the facility's Medicare participation terminates within 12 months (any POS termination code; already-terminated facilities are excluded, not scored safe). Deterministic logistic over as-of-date public records, SNF only. Holdout (2025-04 panel, evaluated before shipping): AUC 0.971, top-decile lift 9.5x. Closures announce themselves: collapsing occupancy dominates, and fewer recent surveys is a winding-down signature. inputs.features holds raw feature values, inputs.contributions each feature's standardized pull on the log-odds. Predictions never enter the composite. See /v1/models. | p_chow_12m: probability of a change of ownership within 12 months. Deterministic logistic over as-of-date public records, SNF only. Holdout (2025-04 panel, evaluated before shipping): AUC 0.874, top-decile lift 5.0x. inputs.features holds raw feature values, inputs.contributions each feature's standardized pull on the log-odds. Predictions never enter the composite. See /v1/models for full notes.
Probability the facility's Medicare participation ends within 12 months, from public records only. Red bars raise exit odds. A negative pull from deficiencies is the winding-down signature — surveys stop as a facility empties — not evidence that clean inspections are dangerous.
Penalties
0
No penalties on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Deficiencies
0
No deficiencies on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
scope_severity uses the CMS letter grid: A is least serious, L most. J, K and L are immediate jeopardy. Rows are the surveyor's findings of record, not the model's opinion.
Licensure actions
0
No licensure actions on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Ownership
0
No ownership edges on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
PECOS ownership and managing-control associations. Current edges have no end date in the source; historical edges are retained.
Related-party costs
0
No related-party cost years on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Cost-report related-party spend by fiscal year. has_propco flags real-estate counterparties.
Transactions
0
No transactions on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Most recent same-state, same-setting trades. Most CHOW-derived trades carry no disclosed consideration, so price, $/bed, and cap rate show only where a sale price was resolved from a deed or filing — blanks are honest, not missing data.
Market rent context
35
Geo
Kind
BR
Amount
As of
Source
county 48485
acs median gross
0
$796
2024-12-31
CENSUS_ACS5
county 48485
fmr
0
$831
2025-10-01
HUD_USER_FMR
county 48485
acs median gross
1
$822
2024-12-31
CENSUS_ACS5
county 48485
fmr
1
$925
2025-10-01
HUD_USER_FMR
county 48485
acs median gross
2
$981
2024-12-31
CENSUS_ACS5
county 48485
fmr
2
$1,136
2025-10-01
HUD_USER_FMR
county 48485
acs median gross
3
$1,265
2024-12-31
CENSUS_ACS5
county 48485
fmr
3
$1,553
2025-10-01
HUD_USER_FMR
county 48485
acs median gross
4
$1,466
2024-12-31
CENSUS_ACS5
county 48485
fmr
4
$1,759
2025-10-01
HUD_USER_FMR
county 48485
acs median gross
5
$1,113
2024-12-31
CENSUS_ACS5
county 48485
acs median gross
$1,006
2024-12-31
CENSUS_ACS5
county 48485
acs recent mover gross
$1,183
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
0
$1,423
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
1
$677
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
2
$1,029
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
3
$1,211
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
4
$1,447
2024-12-31
CENSUS_ACS5
zcta 76309
acs median gross
$1,068
2024-12-31
CENSUS_ACS5
zcta 76309
acs recent mover gross
$872
2024-12-31
CENSUS_ACS5
zip 76309
payment standard 110
0
$902
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 90
0
$738
2025-10-01
HUD_USER_SAFMR
zip 76309
safmr
0
$820
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 110
1
$1,001
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 90
1
$819
2025-10-01
HUD_USER_SAFMR
zip 76309
safmr
1
$910
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 110
2
$1,232
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 90
2
$1,008
2025-10-01
HUD_USER_SAFMR
zip 76309
safmr
2
$1,120
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 110
3
$1,683
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 90
3
$1,377
2025-10-01
HUD_USER_SAFMR
zip 76309
safmr
3
$1,530
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 110
4
$1,903
2025-10-01
HUD_USER_SAFMR
zip 76309
payment standard 90
4
$1,557
2025-10-01
HUD_USER_SAFMR
zip 76309
safmr
4
$1,730
2025-10-01
HUD_USER_SAFMR
ACS median gross rents and HUD FMR/SAFMR for the facility's county and ZIP. Context for underwriting, not facility pricing.