{"id":"W2966396959","doi":"10.1503/cmaj.72397","title":"Is having broad experience a red flag in the CaRMS match?","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Counterintuitive; Flag (linear algebra); Matching (statistics); Computer science; Service (business); Mathematics; Statistics; Algebra over a field; Physics; Business; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00448222,0.0002210536,0.0004761234,0.0006646234,0.009811604,0.003659243,0.001219095,0.01865288,0.01117346],"category_scores_gemma":[0.03345174,0.0002820892,0.0003592853,0.0008717119,0.006181663,0.004524064,0.002162414,0.02398807,0.003677343],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0110718,"about_ca_system_score_gemma":0.01326422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09221453,"about_ca_topic_score_gemma":0.174304,"domain_scores_codex":[0.9950324,0.001364827,0.0002270776,0.0004336538,0.00151333,0.001428734],"domain_scores_gemma":[0.9878576,0.004611654,0.0008595321,0.0002789284,0.001884241,0.004508119],"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":[0.00006343248,0.00005088472,0.01015393,0.00005178481,0.0000130978,0.005424603,0.002746472,0.0000463327,0.0002491935,0.01898573,0.9265106,0.03570408],"study_design_scores_gemma":[0.0000708342,0.0001739029,0.01236144,0.001395165,0.00003801014,0.02002989,0.03254555,0.0005402575,0.0003360334,0.04979321,0.8825378,0.0001778007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002650755,0.0005920107,0.00009222567,0.9853006,0.00349305,0.000004381237,0.00002005007,0.000009670186,0.007837264],"genre_scores_gemma":[0.0529579,0.001050279,0.0001762444,0.9341189,0.006665632,0.00001078703,0.00002683262,0.00002038304,0.004972999],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9889282,"threshold_uncertainty_score":0.1833556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972534134063684,"score_gpt":0.2730538882079371,"score_spread":0.2533285468673003,"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."}}