{"id":"W2944751008","doi":"10.1111/medu.13894","title":"When I say … merit","year":2019,"lang":"en","type":"article","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Unpacking; Figure of merit; Quality (philosophy); Psychology; Economic Justice; Social justice; Social psychology; Epistemology; Political science; Law; Philosophy; Computer science; Criminology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01150486,0.0007319692,0.0009275714,0.001506781,0.005950065,0.01475231,0.001938864,0.009971489,0.009743628],"category_scores_gemma":[0.08464684,0.0003506172,0.0007128324,0.001375532,0.02385394,0.01486355,0.003840528,0.02196605,0.005486063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005630636,"about_ca_system_score_gemma":0.005347427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005315719,"about_ca_topic_score_gemma":0.009556966,"domain_scores_codex":[0.9853886,0.006516822,0.0009110043,0.001933947,0.003825697,0.001424038],"domain_scores_gemma":[0.9682989,0.0205536,0.001693228,0.001929509,0.005866815,0.001657929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000379527,0.00001186309,0.0002597775,0.0001007415,0.00001509369,0.00006344229,0.004250079,0.00005970831,0.00009568087,0.5539048,0.4315969,0.009603979],"study_design_scores_gemma":[0.00001074067,0.00001547125,0.0002969245,0.0003346488,0.00001280246,0.00008062456,0.002648818,0.0001023931,0.0001536495,0.1015809,0.8947319,0.00003113712],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001340552,0.00655939,0.004491912,0.818484,0.05559625,0.00001932679,0.0000676471,0.000112095,0.1133289],"genre_scores_gemma":[0.1497508,0.007773771,0.005085577,0.6745985,0.07647986,0.0001257452,0.0001262992,0.0004715908,0.0855879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01475231,"threshold_uncertainty_score":0.06084424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219941661741577,"score_gpt":0.3534196112242324,"score_spread":0.3412201946068167,"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."}}