{"id":"W3021469632","doi":"10.1257/app.20150131","title":"Beyond Statistics: The Economic Content of Risk Scores","year":2016,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging","keywords":"Context (archaeology); Incentive; Actuarial science; Point (geometry); Economics; Econometrics; Microeconomics; Mathematics","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":[0.01268378,0.0008476336,0.001184603,0.004284536,0.001333569,0.006204573,0.001333669,0.002358955,0.005087697],"category_scores_gemma":[0.1153449,0.0006370701,0.0006237894,0.005736667,0.01034377,0.01308086,0.002792578,0.00437839,0.0006046987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260168,"about_ca_system_score_gemma":0.001359496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346011,"about_ca_topic_score_gemma":0.001851622,"domain_scores_codex":[0.9905563,0.005498041,0.0004159696,0.001059348,0.002225656,0.0002446372],"domain_scores_gemma":[0.8965008,0.0805321,0.007334225,0.01069972,0.003814716,0.001118383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005818179,0.00004831838,0.008835796,0.0001219643,0.00009672366,0.0001180122,0.0003714378,0.007899955,0.0003139408,0.9333656,0.003423003,0.04534707],"study_design_scores_gemma":[0.000009508224,0.00002464299,0.002556399,0.00005624635,0.00001267057,0.00006537983,0.0001377935,0.01759048,0.0001980863,0.9754769,0.00384772,0.00002414672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1356984,0.01140639,0.7460011,0.05443744,0.001216855,0.0001695451,0.001985013,0.0004336176,0.04865173],"genre_scores_gemma":[0.8977599,0.004236056,0.08702407,0.002633525,0.001884802,0.0002152587,0.0005790181,0.0001801108,0.005487461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268378,"threshold_uncertainty_score":0.06707901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941643165697533,"score_gpt":0.2362848980819042,"score_spread":0.2068684664249289,"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."}}