{"id":"W2604798548","doi":"","title":"Debiasing the hidden curriculum","year":2011,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Family medicine; Medicine; Multivariate analysis of variance; Medical school; Medical education; Multivariate analysis; Primary care; MEDLINE; Psychology; Internal medicine; Pedagogy; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034416,0.00006985453,0.00007937423,0.000054804,0.0009358178,0.00006051152,0.0006204496,0.0000498525,0.00003629682],"category_scores_gemma":[0.00002260243,0.00005757044,0.00005150937,0.0003067522,0.0003877154,0.0001405985,0.00002240524,0.0001282325,0.0002905533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724956,"about_ca_system_score_gemma":0.0004744196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4745507,"about_ca_topic_score_gemma":0.3339654,"domain_scores_codex":[0.9990164,0.00008431767,0.00006274358,0.0001261337,0.0003035855,0.0004067926],"domain_scores_gemma":[0.9993628,0.00001963245,0.00002704205,0.0001734085,0.00007092851,0.0003462129],"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":[0.000003794084,0.00005174127,0.00607335,0.000007202391,0.0000658146,0.0001178167,0.0668956,4.893574e-7,0.00005067471,0.2633991,0.3574859,0.3058485],"study_design_scores_gemma":[0.00009382075,0.00001818058,0.0143132,0.00002515966,0.00003252429,1.021856e-7,0.1888349,0.000004366168,0.0000147343,0.004104372,0.7924093,0.0001493304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07851204,0.0002151076,0.000006170445,0.001160306,0.0006518972,0.0001145003,0.000007609,0.00003343674,0.9192989],"genre_scores_gemma":[0.9033281,0.00002301491,0.00005082319,0.09504232,0.0005696064,0.000003574119,0.000003689671,0.000007368214,0.0009714633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9183275,"threshold_uncertainty_score":0.7197649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04484066674443443,"score_gpt":0.2427608890933036,"score_spread":0.1979202223488692,"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."}}