{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837977,0.000360627,0.0004384283,0.0005668549,0.00613879,0.002148077,0.001152735,0.0128726,0.02060395],"category_scores_gemma":[0.02117101,0.0003269338,0.0004860019,0.0005554577,0.001560223,0.002699196,0.001879383,0.01623547,0.007204002],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003602827,"about_ca_system_score_gemma":0.005149224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008529962,"about_ca_topic_score_gemma":0.01963188,"domain_scores_codex":[0.997442,0.0006812203,0.0002009277,0.0003290552,0.0008108058,0.0005359064],"domain_scores_gemma":[0.9936388,0.001823612,0.0003903219,0.0002804672,0.001265205,0.002601663],"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":[0.00000977834,0.00003000221,0.001211051,0.00001496209,0.00000355624,0.004047608,0.0001932066,0.00003837301,0.00007041641,0.002389382,0.9779635,0.0140282],"study_design_scores_gemma":[0.00001434127,0.00006529441,0.001889948,0.0003673725,0.000006141852,0.01955752,0.001432428,0.0004035292,0.0001165613,0.00730904,0.9688037,0.00003401923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001575737,0.0008202853,0.0002632889,0.967362,0.009386465,0.00001576887,0.00003742067,0.00004847465,0.0204906],"genre_scores_gemma":[0.02813959,0.001747382,0.0004918617,0.9234347,0.01211617,0.00002838513,0.0000655691,0.00005331112,0.03392308],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9963972,"threshold_uncertainty_score":0.06892711,"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."}}