{"id":"W6926386097","doi":"10.25384/sage.20250322","title":"sj-pdf-3-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":"Microbial Natural Products and Biosynthesis","field":"Medicine","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":[0.001339388,0.0006654419,0.0006348433,0.002616708,0.00181434,0.004140851,0.001762542,0.001584959,0.9582892],"category_scores_gemma":[0.008708268,0.0006303311,0.0004858491,0.003441316,0.0005702991,0.00156709,0.002303303,0.001494805,0.8587907],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518104,"about_ca_system_score_gemma":0.005799993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06285118,"about_ca_topic_score_gemma":0.1273483,"domain_scores_codex":[0.9986193,0.00006697535,0.00005134483,0.00009442193,0.0009437565,0.0002242147],"domain_scores_gemma":[0.9891951,0.001882868,0.0002806237,0.0005447333,0.005267411,0.00282916],"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":[0.00002660886,0.00003435871,0.00009765248,0.00005139769,9.490318e-7,0.00001265919,0.0000151816,0.00001892461,0.000207016,0.0001954124,0.9841502,0.01518978],"study_design_scores_gemma":[0.00005005347,0.0000281906,0.001586847,0.00008639553,0.000002366428,0.00003575257,0.00009947014,0.00006917716,0.0004373914,0.0003352843,0.9972538,0.00001525713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0006563673,0.0002599804,0.001085506,0.003038291,0.001921145,0.000554391,0.1140717,0.007105649,0.8713071],"genre_scores_gemma":[0.0032985,0.000365959,0.001713883,0.001229583,0.0003627356,0.000204774,0.04670452,0.003151245,0.9429688],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9964819,"threshold_uncertainty_score":0.1249707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358654678867144,"score_gpt":0.3246695630106317,"score_spread":0.2910830162219603,"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."}}