{"id":"W2986672229","doi":"10.1111/iere.12138","title":"QUANTIFYING THE IMPACTS OF LIMITED SUPPLY: THE CASE OF NURSING HOMES","year":2015,"lang":"en","type":"article","venue":"International Economic Review","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Medicaid; Nursing homes; Welfare; Offset (computer science); Demographic economics; Quality (philosophy); Estimation; Economics; Business; Nursing; Medicine; Psychology; Health care; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008387768,0.0008513043,0.001525574,0.001258455,0.0007385052,0.002425425,0.001991116,0.002497249,0.003871362],"category_scores_gemma":[0.03558926,0.001082499,0.0009935404,0.001741457,0.002176404,0.00623942,0.002486322,0.002443343,0.0002083393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925233,"about_ca_system_score_gemma":0.002015302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02954689,"about_ca_topic_score_gemma":0.01962111,"domain_scores_codex":[0.9957057,0.00289926,0.0001204337,0.0003970532,0.0004893132,0.000388285],"domain_scores_gemma":[0.9615494,0.03251766,0.003138101,0.001198794,0.001182201,0.0004138312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003751759,0.0004488213,0.0421508,0.0004123344,0.0004058399,0.001263355,0.0005325505,0.7366028,0.001003671,0.1878804,0.002569525,0.02635475],"study_design_scores_gemma":[0.00008724173,0.0002262937,0.01796093,0.0001426423,0.0001821929,0.0002745318,0.001041405,0.7648079,0.0007508892,0.2106504,0.003791464,0.00008407288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796882,0.004019978,0.2866505,0.00659933,0.0001066702,0.0002939818,0.001890728,0.0001153712,0.02063513],"genre_scores_gemma":[0.9806111,0.001044511,0.01546385,0.0002107384,0.00009610171,0.0001162443,0.0003146,0.00002328107,0.002119538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02954689,"threshold_uncertainty_score":0.05874979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2334476838760739,"score_gpt":0.3971250078571716,"score_spread":0.1636773239810977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}