{"id":"W2048465014","doi":"10.1111/medu.12547","title":"Seeking inclusion in an exclusive process: discourses of medical school student selection","year":2014,"lang":"en","type":"article","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inclusion (mineral); Selection (genetic algorithm); Medical school; Process (computing); Medical education; Psychology; Medicine; Social psychology; Computer science","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":[0.03824162,0.0009205039,0.0009910172,0.004104517,0.02538572,0.01552143,0.002539026,0.005924665,0.001902341],"category_scores_gemma":[0.05654877,0.0006112474,0.0007343703,0.003810081,0.06751636,0.01360945,0.02008386,0.006877154,0.0002840049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00851927,"about_ca_system_score_gemma":0.007319576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004896113,"about_ca_topic_score_gemma":0.003181357,"domain_scores_codex":[0.9221507,0.06858847,0.001170949,0.001520492,0.003999107,0.002570325],"domain_scores_gemma":[0.9174366,0.06978649,0.005231719,0.001573039,0.002371762,0.003600509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002498347,0.00001337469,0.0006442886,0.00002949592,0.000002312356,0.0001128407,0.987012,0.0000235088,0.0001288856,0.01072913,0.000136364,0.00114283],"study_design_scores_gemma":[0.00001332232,0.00004774115,0.001195407,0.0001792467,0.000007250352,0.0001296718,0.9777492,0.0002137069,0.000311263,0.008500848,0.01163158,0.00002074644],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515021,0.001284446,0.003506322,0.0145574,0.0001595742,0.00009060801,0.0000180153,0.00002660349,0.02885493],"genre_scores_gemma":[0.9980384,0.0002296297,0.000355994,0.000393625,0.00004472413,0.00003466684,0.000007876416,0.0000138132,0.0008813739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03824162,"threshold_uncertainty_score":0.2022434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281927524133561,"score_gpt":0.4317973367184577,"score_spread":0.418978061477122,"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."}}