{"id":"W3138061044","doi":"10.1111/medu.14525","title":"‘Meritocracy’ and ‘fairness’ in medical student selection: Comparing UK and Australia","year":2021,"lang":"en","type":"letter","venue":"Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Meritocracy; Selection (genetic algorithm); Raising (metalworking); Sociology; Psychology; Political science; Computer science; Law; Mathematics","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":[0.01996783,0.0002196306,0.0006774747,0.0007135093,0.008550913,0.005425562,0.001553583,0.03056268,0.003909524],"category_scores_gemma":[0.05621724,0.0005008507,0.0005255891,0.001024823,0.009088575,0.005386171,0.004266982,0.02523799,0.00105543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007497902,"about_ca_system_score_gemma":0.01270482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08459434,"about_ca_topic_score_gemma":0.1401606,"domain_scores_codex":[0.9852475,0.008823399,0.001037157,0.0009116381,0.002359485,0.001620766],"domain_scores_gemma":[0.949598,0.03914095,0.002199503,0.0007351438,0.003987262,0.004339122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00038633,0.00008963783,0.01524625,0.0002324425,0.00004345007,0.002457206,0.04222917,0.0001813167,0.0005926792,0.08599272,0.812205,0.04034385],"study_design_scores_gemma":[0.0002264096,0.0002385689,0.03705836,0.001065695,0.00006274354,0.001473911,0.05029594,0.001223689,0.0008452105,0.06253846,0.8446885,0.0002825551],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006760805,0.0009122727,0.00006286232,0.986248,0.001434314,0.000005278135,0.00001683532,0.000003233387,0.004556379],"genre_scores_gemma":[0.08361052,0.000780735,0.0002006959,0.9015486,0.003922025,0.00003109304,0.00001523326,0.00001743829,0.009873703],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08459434,"threshold_uncertainty_score":0.1682039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013622735577833,"score_gpt":0.3909367835031751,"score_spread":0.3508005561473968,"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."}}