{"id":"W3024777187","doi":"10.1186/s12909-020-02056-x","title":"Demographic and socioeconomic characteristics of Canadian medical students: a cross-sectional study","year":2020,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Socioeconomic status; Rurality; Census; Demography; Population; Ethnic group; Household income; Medicine; Demographics; Cross-sectional study; Rural area; Gerontology; Family medicine; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002384924,0.00005679765,0.0001363765,0.0001362469,0.0002389407,0.00006870189,0.0005192556,0.0001699465,0.005392356],"category_scores_gemma":[0.004524374,0.0000581382,0.00003073383,0.0002286534,0.0005532118,0.00008068804,0.00006371773,0.0002008497,0.00003315532],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006484748,"about_ca_system_score_gemma":0.008238815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07075835,"about_ca_topic_score_gemma":0.1820237,"domain_scores_codex":[0.9974428,0.0001681178,0.0002469544,0.0001749724,0.001812111,0.0001549833],"domain_scores_gemma":[0.9981923,0.0001538684,0.00006860209,0.00006074314,0.0001276211,0.001396873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009031026,0.000165479,0.9845924,0.00002229063,0.00001591196,0.000002109933,0.008675167,3.079579e-8,1.654043e-7,0.001149953,0.002670305,0.002697163],"study_design_scores_gemma":[0.0003592707,0.00006590429,0.9671445,0.00001731418,0.00001560236,0.000001037672,0.02275436,0.00001591897,1.225198e-7,0.00005455895,0.009517718,0.00005367467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895691,0.00006013334,0.00001890074,0.007840633,0.0008026279,0.0001891295,0.000006133251,0.00001450518,0.001498825],"genre_scores_gemma":[0.9930534,0.0001667041,0.00002742558,0.005845261,0.0007886104,0.000008699179,0.00001444804,0.000003410541,0.0000920581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112653,"threshold_uncertainty_score":0.9973835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328772947986136,"score_gpt":0.352584703497952,"score_spread":0.3192969740180906,"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."}}