{"id":"W2908068577","doi":"10.1007/s00038-018-1195-2","title":"Evaluating the impact of health policies: using a difference-in-differences approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Public health; Environmental health; Health policy; Psychology; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01956142,0.001602193,0.003454092,0.002966168,0.0007516415,0.003144459,0.003403177,0.003748934,0.006538007],"category_scores_gemma":[0.0557835,0.001093896,0.003086091,0.001473999,0.001946711,0.003112196,0.002707619,0.003339942,0.0002691502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003782006,"about_ca_system_score_gemma":0.003400644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114536,"about_ca_topic_score_gemma":0.01142627,"domain_scores_codex":[0.9847414,0.01173873,0.0004993813,0.001122284,0.001039439,0.0008587333],"domain_scores_gemma":[0.931594,0.06314141,0.001611611,0.001264626,0.00110299,0.001285392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002382608,0.002308991,0.04160588,0.0005865856,0.003161151,0.0004946537,0.0003176355,0.8151353,0.001013599,0.09030881,0.001782211,0.04090253],"study_design_scores_gemma":[0.000390178,0.00134541,0.006430691,0.00004300688,0.0005432207,0.00005824426,0.0003611097,0.9213768,0.0009851205,0.06683975,0.001547166,0.0000792846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5628398,0.00222592,0.4112472,0.006642906,0.0009199776,0.000889533,0.00215118,0.0002817622,0.01280172],"genre_scores_gemma":[0.9584621,0.000391322,0.0384271,0.0003349734,0.000200166,0.0002113953,0.0005028708,0.0000353308,0.001434768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114536,"threshold_uncertainty_score":0.103452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4386616575360994,"score_gpt":0.4710923559735345,"score_spread":0.03243069843743507,"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."}}