{"id":"W2890770461","doi":"10.3386/w19242","title":"Physicians Treating Physicians: Information and Incentives in Childbirth","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research","keywords":"Incentive; Microdata (statistics); Family medicine; Quarter (Canadian coin); Childbirth; Medicine; Business; Pregnancy; Economics; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008390909,0.0002158617,0.0005596805,0.0007877977,0.0008773575,0.002047059,0.000775657,0.002137233,0.009536685],"category_scores_gemma":[0.07008553,0.0005034366,0.0005444714,0.001107324,0.001268565,0.001149503,0.001330532,0.001918894,0.00050598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778937,"about_ca_system_score_gemma":0.002425331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377525,"about_ca_topic_score_gemma":0.01328456,"domain_scores_codex":[0.9909254,0.005849156,0.0003646443,0.0006936691,0.001115487,0.001051555],"domain_scores_gemma":[0.7833388,0.1556725,0.05078843,0.0032404,0.002242908,0.004716936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001893546,0.001486573,0.8815231,0.0003091151,0.0003489186,0.0005082327,0.001040593,0.01323099,0.000477468,0.02518656,0.008665408,0.06532956],"study_design_scores_gemma":[0.0007370897,0.0006724293,0.9233873,0.0002753286,0.0002099953,0.0004105456,0.001469472,0.0163061,0.0006834525,0.03769825,0.01804571,0.0001042546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287979,0.004991799,0.007793615,0.03361348,0.000193612,0.0001334868,0.002262556,0.00006793273,0.02214564],"genre_scores_gemma":[0.996326,0.000676787,0.0005597488,0.0008420268,0.0001675295,0.00002320935,0.0002169065,0.00000581879,0.001181901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377525,"threshold_uncertainty_score":0.0443759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113634480665001,"score_gpt":0.4395845271041616,"score_spread":0.2282210790376615,"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."}}