{"id":"W4230146715","doi":"10.4095/300984","title":"Non-medical Determinants of Health - High School Graduates, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Psychology; Mathematics education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027192,0.0004007977,0.0002480141,0.002007783,0.0005584677,0.0008955034,0.0007169296,0.0005996193,0.01398042],"category_scores_gemma":[0.003180543,0.0003123173,0.0005546012,0.003782781,0.000182496,0.0006457412,0.0008840035,0.0008379247,0.00362035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207067,"about_ca_system_score_gemma":0.00478849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.353294,"about_ca_topic_score_gemma":0.5103457,"domain_scores_codex":[0.9994971,0.00005227346,0.00006391267,0.00004050289,0.0002438982,0.0001024447],"domain_scores_gemma":[0.9981526,0.0001650088,0.0004105391,0.00008990334,0.0006757738,0.000506305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164986,0.0002451614,0.9005817,0.0002571571,0.00009250938,0.00009958485,0.0003045199,0.0003172134,0.00009704002,0.0003918546,0.07628686,0.02120985],"study_design_scores_gemma":[0.00001094111,0.0000193782,0.9864913,0.00009225579,0.00001586847,0.00004072933,0.0001696781,0.0000584848,0.00003956536,0.00004255692,0.01301586,0.000003470148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2489477,0.008833094,0.000305667,0.006733469,0.0004334269,0.0007774768,0.6767726,0.00007588157,0.05712077],"genre_scores_gemma":[0.6002409,0.01863531,0.001076538,0.001727312,0.0003986341,0.001258651,0.2733825,0.00005622072,0.103224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.353294,"threshold_uncertainty_score":0.7024752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08024866728942524,"score_gpt":0.4917218490145053,"score_spread":0.4114731817250801,"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."}}