{"id":"W6907713325","doi":"10.25384/sage.20250325","title":"sj-pdf-4-psg-10.1177_22925503221108468 - Supplemental material for Successful Applicant and Program Director Perspectives on the Virtual Residency Selection Process for Canadian Surgical Subspecialties","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Program director; Selection (genetic algorithm); Process (computing); Personnel selection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001713901,0.0007305939,0.0007550051,0.003746659,0.00238346,0.005037033,0.002071221,0.001750421,0.9584399],"category_scores_gemma":[0.01755138,0.0007737225,0.0005278234,0.0058361,0.00071283,0.002043578,0.002895243,0.001627806,0.8455539],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004665098,"about_ca_system_score_gemma":0.007839779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1190172,"about_ca_topic_score_gemma":0.2084964,"domain_scores_codex":[0.9979055,0.0001095101,0.0000850603,0.000127142,0.001460003,0.000312796],"domain_scores_gemma":[0.9774829,0.005175576,0.0006009323,0.001077346,0.01126604,0.004397198],"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":[0.00001547186,0.00002115275,0.0001084309,0.00003825799,7.344214e-7,0.000007466804,0.00001652093,0.00001417169,0.00004837371,0.0001336009,0.9908202,0.008775568],"study_design_scores_gemma":[0.00008323095,0.0000274582,0.003394359,0.0001709798,0.000003409248,0.00003785396,0.0002339181,0.0001096321,0.0002866139,0.000496392,0.9951302,0.00002610375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0007731946,0.0001754118,0.0008958059,0.003665651,0.00175728,0.0006673814,0.2256227,0.007970319,0.7584723],"genre_scores_gemma":[0.005002284,0.0003689121,0.002156379,0.001755336,0.0005292477,0.0004334954,0.09348258,0.005348149,0.8909236],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9953349,"threshold_uncertainty_score":0.2366489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05002098570274035,"score_gpt":0.3548299449915978,"score_spread":0.3048089592888574,"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."}}