{"id":"W2326392242","doi":"10.1503/cmaj.1150017","title":"Residency matching woes","year":2015,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rubric; Computer science; Matching (statistics); Frustration; Medical education; Data science; Medicine; Mathematics education; Psychology; Pathology; Social psychology","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002496602,0.0002550292,0.000571153,0.0004929859,0.0002984029,0.0001341824,0.0003264248,0.002678353,0.1092424],"category_scores_gemma":[0.04453737,0.0002069035,0.0002370917,0.0002784981,0.00005373828,0.00008634652,0.0000210933,0.01023969,0.001291803],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875046,"about_ca_system_score_gemma":0.115625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003308819,"about_ca_topic_score_gemma":0.003348622,"domain_scores_codex":[0.9934772,0.0003163741,0.0007740076,0.0002668872,0.004340964,0.0008245599],"domain_scores_gemma":[0.9830642,0.0003134304,0.0004174656,0.0002348409,0.001026341,0.01494374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000244579,0.00001496714,0.0005063032,0.00003820435,0.0001084713,0.004781392,0.0002353973,6.608698e-8,4.32241e-7,0.00002338237,0.9893602,0.0049288],"study_design_scores_gemma":[0.0006278391,0.00004417913,0.000435516,0.0007035112,0.0001070702,0.001690174,0.0002743677,0.000008180293,5.632431e-7,0.00116,0.9947467,0.0002019041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002596767,0.000549241,0.00001378048,0.9672043,0.003741067,0.0001467489,0.00002950672,0.00003804341,0.02801761],"genre_scores_gemma":[0.000146677,0.000218248,0.0002507793,0.8984343,0.03654353,0.00000725141,0.0001916168,0.00004871699,0.06415889],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1127499,"threshold_uncertainty_score":0.9994858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329084687802645,"score_gpt":0.3084075720129985,"score_spread":0.285116725134972,"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."}}