{"id":"W4389775061","doi":"10.1080/0142159x.2023.2289851","title":"Front row seat: The role MMI assessors play in widening access to medical school","year":2023,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Medical Education and Admissions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Dalhousie University","funders":"Social Sciences and Humanities Research Council","keywords":"Front (military); Medical school; Medical education; Medicine; Mathematics education; Computer science; Psychology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04452088,0.0003164185,0.0003015107,0.0011452,0.00928743,0.006433191,0.001049599,0.002065525,0.01226382],"category_scores_gemma":[0.08524761,0.0003563167,0.0003588329,0.000875072,0.005046753,0.004568843,0.008585189,0.003257162,0.002206126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856052,"about_ca_system_score_gemma":0.0054949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228788,"about_ca_topic_score_gemma":0.004685366,"domain_scores_codex":[0.9585804,0.03475639,0.001060079,0.0007458339,0.002537138,0.002320065],"domain_scores_gemma":[0.9236041,0.047925,0.006143658,0.002472905,0.007664343,0.01218991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000229806,0.0001490214,0.05480963,0.0003787492,0.00001576383,0.0009119311,0.7889029,0.0001085534,0.003524798,0.00720207,0.03561589,0.1081508],"study_design_scores_gemma":[0.00002073202,0.0002845045,0.02369327,0.0008926527,0.00001765249,0.0008062399,0.8287554,0.0005128738,0.001445398,0.003165216,0.1403419,0.00006415175],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535639,0.003850825,0.02818059,0.1177643,0.002708734,0.0008710772,0.0003431676,0.0007693259,0.09194812],"genre_scores_gemma":[0.9820662,0.0005003277,0.005640978,0.004008337,0.0002778997,0.0002878758,0.00004109193,0.00005485577,0.007122398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04452088,"threshold_uncertainty_score":0.2354518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842858802684569,"score_gpt":0.4143010619224816,"score_spread":0.3658724738956359,"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."}}