{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003526559,0.0001526622,0.0005797798,0.0003437204,0.0001670111,0.00001091756,0.0004805599,0.0001413382,0.0003215937],"category_scores_gemma":[0.001005086,0.0001153066,0.00002264598,0.0004192477,0.0006790171,0.0001093804,0.00005881775,0.0001768642,0.00000484627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490581,"about_ca_system_score_gemma":0.0005558361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6330688,"about_ca_topic_score_gemma":0.7492417,"domain_scores_codex":[0.9967246,0.0002005598,0.0004406126,0.0003557128,0.001858059,0.0004204276],"domain_scores_gemma":[0.9984221,0.0005531792,0.0001179415,0.0001943306,0.0001931591,0.0005192688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008373377,0.0001301631,0.9442054,0.00004841169,0.0000395659,0.00002244743,0.05005198,0.000001093563,0.00003427633,0.001390611,0.00280125,0.001191057],"study_design_scores_gemma":[0.003887758,0.003077878,0.7908325,0.0003633905,0.00007027224,8.101606e-7,0.1973511,0.00006237112,3.504329e-7,0.0001356522,0.004121183,0.00009678759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799842,0.0008791935,0.00002168493,0.003793927,0.0009987949,0.001292898,0.00000583587,0.00001770104,0.01300573],"genre_scores_gemma":[0.9975948,0.0004395313,0.00001183249,0.0009510371,0.0003675396,0.00002996744,0.00001275422,0.000006655114,0.0005859022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533729,"threshold_uncertainty_score":0.4702066,"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."}}