{"id":"W2979202067","doi":"10.22454/fammed.2019.840363","title":"A Longitudinal Study of Differences in Canadian and US Medical Student Preparation for Family Medicine","year":2019,"lang":"en","type":"article","venue":"Family Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Medicine; Medical school; IMG; Cohort study; Family medicine; Longitudinal study; Medical education; Demography; Internal medicine; Pathology","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":[0.00300479,0.000269248,0.0002919885,0.001820446,0.002782309,0.000904162,0.0008034927,0.000475041,0.00176444],"category_scores_gemma":[0.007748275,0.0002598411,0.0004826141,0.003650778,0.0005201398,0.0005141633,0.001097871,0.0008370213,0.0002238895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01281595,"about_ca_system_score_gemma":0.02570229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9617596,"about_ca_topic_score_gemma":0.9698526,"domain_scores_codex":[0.9982893,0.0001715328,0.00007107396,0.0002346786,0.0006905516,0.0005428357],"domain_scores_gemma":[0.993648,0.0003917972,0.001106625,0.0001959924,0.003315369,0.001342291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005662356,0.00003755682,0.9939604,0.00001074443,0.00003822586,0.00001830059,0.001307477,0.00002573895,0.00005543111,0.00006879277,0.0007892604,0.003631526],"study_design_scores_gemma":[0.000002600941,0.00002135312,0.9982706,0.00001130232,0.000008067593,0.00001208005,0.001049359,0.00005008707,0.00002174738,0.000006757409,0.0005417038,0.000004391158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957597,0.0002797704,0.0001040108,0.0003494644,0.00002191068,0.00002759781,0.00192076,0.000006716875,0.001530114],"genre_scores_gemma":[0.9972119,0.0001960738,0.0002195127,0.00009460608,0.000009219319,0.00002555104,0.00168423,0.000003768458,0.0005551963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03824037,"threshold_uncertainty_score":0.0929867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08432791152558367,"score_gpt":0.383847892128573,"score_spread":0.2995199806029893,"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."}}