{"id":"W4366351055","doi":"10.1080/09638288.2023.2201511","title":"Encouraging workforce diversity- supporting medical students with mobility and sensory disabilities","year":2023,"lang":"en","type":"article","venue":"Disability and Rehabilitation","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Workforce; Medical education; Graduation (instrument); Inclusion (mineral); Diversity (politics); Reasonable accommodation; Variety (cybernetics); Resource (disambiguation); Psychology; Process (computing); Medicine; Computer science; Sociology; Engineering; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01332483,0.0003556864,0.000435918,0.002359965,0.003055919,0.003530024,0.001454214,0.001829251,0.003946659],"category_scores_gemma":[0.03498287,0.0002723677,0.0009149811,0.001155733,0.001676296,0.003954475,0.010217,0.001951193,0.0006379395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002464836,"about_ca_system_score_gemma":0.02428307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003933791,"about_ca_topic_score_gemma":0.01477517,"domain_scores_codex":[0.9900406,0.005317258,0.0009590965,0.0003418603,0.002048339,0.001292797],"domain_scores_gemma":[0.9838526,0.006390143,0.002646483,0.0006457543,0.003282798,0.00318214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007390785,0.0005116711,0.02132783,0.01170893,0.00008068489,0.001232604,0.02182255,0.0004287597,0.001504116,0.00771893,0.0356829,0.897907],"study_design_scores_gemma":[0.00009944257,0.001031231,0.06348043,0.05842268,0.000229553,0.004091481,0.0933409,0.0004175613,0.00388021,0.01354939,0.7613026,0.0001545468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2443791,0.2575917,0.02605462,0.3382606,0.007941467,0.002510921,0.0004970309,0.000373161,0.1223914],"genre_scores_gemma":[0.7377369,0.1739295,0.03926409,0.03331586,0.001775692,0.001729226,0.0003150265,0.00006210293,0.01187161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01332483,"threshold_uncertainty_score":0.07046926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269841025658982,"score_gpt":0.3680650178255613,"score_spread":0.3353666075689715,"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."}}