{"id":"W6963712542","doi":"10.25384/sage.20304517","title":"Table S1 - Supplemental material for The Impact of the COVID-19 Pandemic on the Canadian Dermatology Residency Match","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Dermatological and COVID-19 studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Table (database); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak","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":[0.002570705,0.001103248,0.001335909,0.008792812,0.003295824,0.002961623,0.003035414,0.001511713,0.6983659],"category_scores_gemma":[0.04941445,0.0008320279,0.001129552,0.01615461,0.0005986457,0.001598434,0.002108388,0.001833067,0.1188041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208618,"about_ca_system_score_gemma":0.0412343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.748271,"about_ca_topic_score_gemma":0.8537844,"domain_scores_codex":[0.9956616,0.0002280903,0.0004756304,0.0003773783,0.002392289,0.0008651458],"domain_scores_gemma":[0.929945,0.01673049,0.003936192,0.001871124,0.04180163,0.005715542],"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":[0.00004844662,0.00004598875,0.002698361,0.0004326787,0.00002103114,0.00001494458,0.00003132331,0.00009800833,0.00002388405,0.0003297532,0.989913,0.006342605],"study_design_scores_gemma":[0.0007502314,0.0001006341,0.127626,0.002255718,0.0001291838,0.0001761166,0.001122624,0.0007114841,0.0003199386,0.002445058,0.8642222,0.0001408162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00032175,0.00007411077,0.0001034947,0.0005490048,0.0001482028,0.0001428671,0.9898288,0.0001668693,0.008664915],"genre_scores_gemma":[0.007791006,0.000650357,0.002085187,0.002027828,0.0002987657,0.001142676,0.9404625,0.0004426163,0.04509899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6983659,"threshold_uncertainty_score":0.5064229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435459937022755,"score_gpt":0.396703919247086,"score_spread":0.2531579255448105,"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."}}