{"id":"W2965466164","doi":"10.36834/cmej.61275","title":"Lines in the sand: pre-interview rank and probability of receiving admission to medical school","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bonferroni correction; Spearman's rank correlation coefficient; Rank (graph theory); Entrance exam; Rank correlation; Statistics; Test (biology); Mathematics; Medical school; Bin; Psychology; Quotient; Demography; Medicine; Family medicine; Combinatorics; Medical education; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003587756,0.0001171405,0.0002991731,0.0002954277,0.00008546146,0.00002976777,0.0003001482,0.0002146216,0.2160287],"category_scores_gemma":[0.2529837,0.00007181297,0.00006619009,0.0004071846,0.00009713214,0.00006894407,0.00002367003,0.001045426,0.00004184744],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739614,"about_ca_system_score_gemma":0.123816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00225025,"about_ca_topic_score_gemma":0.003013792,"domain_scores_codex":[0.9974032,0.000348746,0.0006448189,0.0002091044,0.001108946,0.0002851713],"domain_scores_gemma":[0.9551148,0.0002947091,0.0001281074,0.0003456925,0.0003085953,0.04380812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001094278,0.001044888,0.05531185,0.0007646559,0.00003968206,0.00005401991,0.007900866,0.000001197306,0.0001059433,0.0006037122,0.438689,0.4953747],"study_design_scores_gemma":[0.002020018,0.000387516,0.2163877,0.00907917,0.00005213859,0.002468135,0.004337852,0.000376197,0.00003654939,0.0008220906,0.7638023,0.0002303523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4972548,0.0009452942,0.0000224578,0.4974126,0.0009900713,0.0005377522,0.000001311629,0.000005799445,0.002829844],"genre_scores_gemma":[0.8014708,0.0004511648,0.0005962689,0.1953274,0.0007635555,0.00002921558,0.000009293558,0.00001285414,0.00133956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4951444,"threshold_uncertainty_score":0.8811511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227999816766757,"score_gpt":0.3538746596931083,"score_spread":0.3310746780164326,"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."}}