{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005794378,0.0001712587,0.0002507663,0.00005808514,0.001482132,0.0001760153,0.0002516138,0.0001365811,0.000257891],"category_scores_gemma":[0.00512861,0.0001488769,0.00006717777,0.0004510148,0.00557957,0.0004715357,0.0003724648,0.0001895699,0.00001677056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370707,"about_ca_system_score_gemma":0.000126652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414994,"about_ca_topic_score_gemma":0.00319987,"domain_scores_codex":[0.9966308,0.0006351624,0.000395606,0.000605478,0.001281717,0.000451183],"domain_scores_gemma":[0.9957379,0.003351584,0.00008152318,0.0003036064,0.0001268177,0.0003986026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004356125,0.000322173,0.8573463,0.0001599756,0.00001208851,4.492992e-7,0.1260839,0.000008155263,0.000002072683,0.00522194,0.0001736544,0.0106257],"study_design_scores_gemma":[0.0003368736,0.0001149477,0.6570119,0.00006477965,0.00001967506,8.489333e-7,0.3323717,0.00008543086,0.000001815044,0.008086395,0.001724322,0.0001814021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654179,0.00002386737,0.00001958545,0.03196403,0.0001815633,0.000699035,0.000009755464,0.0002502075,0.001434115],"genre_scores_gemma":[0.9987131,0.00006378945,0.0001465848,0.0001820045,0.00008981178,0.00007171221,0.00001730962,0.00001049878,0.0007052213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2062877,"threshold_uncertainty_score":0.9998178,"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."}}