{"id":"W2286945039","doi":"10.1080/10401334.2015.1108198","title":"Homelessness in the Medical Curriculum: An Analysis of Case-Based Learning Content From One Canadian Medical School","year":2016,"lang":"en","type":"article","venue":"Teaching and Learning in Medicine","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Curriculum; Disadvantaged; Thematic analysis; Content analysis; Framing (construction); Medical education; Health care; Hidden curriculum; Medical ethics; Medicine; Public health; Psychology; Nursing; Qualitative research; Sociology; Psychiatry; Pedagogy; Political science; Social science","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":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01459564,0.0001824709,0.00106906,0.000672489,0.0008270253,0.000008617113,0.0003147749,0.0004397402,0.003275408],"category_scores_gemma":[0.01687549,0.0001010096,0.00005320376,0.0005882801,0.0002667856,0.00008272574,0.00004157607,0.004242047,0.000007984793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817868,"about_ca_system_score_gemma":0.0008234763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8731641,"about_ca_topic_score_gemma":0.9083616,"domain_scores_codex":[0.9896151,0.007654318,0.0008102719,0.0003537243,0.001026802,0.0005397678],"domain_scores_gemma":[0.9946541,0.003924322,0.0002307406,0.0002276166,0.00009686575,0.0008664172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000191939,0.00007894111,0.8896119,0.00004005983,0.0000753455,0.0006450322,0.0696804,0.00006033792,0.00001824972,0.0004987171,0.000007417337,0.03926441],"study_design_scores_gemma":[0.002734029,0.0001870736,0.565952,0.002525411,0.0002186331,0.00000260833,0.4153486,0.01124695,4.181994e-7,0.0000310022,0.0015686,0.0001846839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991367,0.0005432524,0.0005330929,0.006666633,0.0001154299,0.0002043461,0.000004375348,0.00004601566,0.0005198159],"genre_scores_gemma":[0.9984966,0.0001373723,0.00005771855,0.0007702746,0.0003688585,0.00004181125,0.00004789371,0.00001940984,0.00006009488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3456682,"threshold_uncertainty_score":0.9980552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920457486652171,"score_gpt":0.3989261413526097,"score_spread":0.339721566486088,"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."}}