{"id":"W1953646767","doi":"10.36834/cmej.36612","title":"So you married a doctor? Preparing trainees for medical marriages","year":2013,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Merge (version control); Medical education; Medical school; Population; Family medicine; Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002716972,0.0002258778,0.0003697035,0.00058234,0.00538447,0.0016191,0.0009077386,0.001828163,0.02955129],"category_scores_gemma":[0.01802758,0.0004320522,0.0005047151,0.0003871841,0.0007273309,0.002255182,0.004121948,0.003893016,0.00475272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134494,"about_ca_system_score_gemma":0.007853046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461183,"about_ca_topic_score_gemma":0.02190214,"domain_scores_codex":[0.9984971,0.000555392,0.0000917192,0.00007090593,0.0002412141,0.0005436472],"domain_scores_gemma":[0.991003,0.0004564033,0.0006327655,0.00008138127,0.0008237312,0.00700268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002033884,0.00131285,0.07506602,0.0009407516,0.00003997498,0.0046758,0.02105539,0.0001764772,0.000755639,0.001762082,0.5742986,0.3197131],"study_design_scores_gemma":[0.0002383659,0.002082454,0.1796844,0.005245491,0.0001234083,0.01319561,0.1834128,0.0005184934,0.001116758,0.007582703,0.6065744,0.0002251765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3142038,0.03528428,0.003930066,0.5410616,0.0307308,0.001526333,0.0006560523,0.0004616877,0.07214549],"genre_scores_gemma":[0.7541356,0.06571236,0.01426758,0.1056487,0.0161452,0.001329855,0.001064036,0.0002640761,0.04143251],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02955129,"threshold_uncertainty_score":0.09885895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456912831581839,"score_gpt":0.3101058952706263,"score_spread":0.2955367669548079,"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."}}