{"id":"W2054732438","doi":"10.1111/medu.12601","title":"Equality, diversity and fairness in medical education: international perspectives","year":2014,"lang":"en","type":"editorial","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); MEDLINE; Cultural diversity; Psychology; Medical education; Sociology; Political science; Medicine; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04137173,0.0009416896,0.002080917,0.006581212,0.01049156,0.02615323,0.002567066,0.01732871,0.008431172],"category_scores_gemma":[0.05124965,0.0004834349,0.001269248,0.007968502,0.0456069,0.03622115,0.01978358,0.02366883,0.0006108053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008811304,"about_ca_system_score_gemma":0.008493596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578443,"about_ca_topic_score_gemma":0.001494296,"domain_scores_codex":[0.9597268,0.02735171,0.002139355,0.002483503,0.004733566,0.003565189],"domain_scores_gemma":[0.888393,0.0968632,0.004250573,0.002431236,0.003987548,0.004074417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005160375,0.00007797947,0.0006153029,0.001325704,0.00002174675,0.0002550174,0.05086144,0.0002397909,0.0001304707,0.8666053,0.03399053,0.04582508],"study_design_scores_gemma":[0.00001314122,0.00009242853,0.001525684,0.005295519,0.00002781631,0.000527966,0.04348529,0.0002652981,0.0002100026,0.4255694,0.5229185,0.0000688044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.004609852,0.1991103,0.002192667,0.732801,0.0153271,0.00002030459,0.00004021384,0.00001426046,0.04588448],"genre_scores_gemma":[0.4415863,0.3191673,0.003913799,0.1482608,0.07798084,0.0001903116,0.0001124627,0.000133833,0.008654369],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04137173,"threshold_uncertainty_score":0.2187971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087853647700145,"score_gpt":0.3806365098985917,"score_spread":0.3697579734215902,"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."}}