{"id":"W6945420526","doi":"10.25384/sage.9265109","title":"Table S1 – Supplemental material for <i>HLA-B*58:01</i> Genotyping to Prevent Cases of DRESS and SJS/TEN in East Asians Treated with Allopurinol—A Canadian Missed Opportunity","year":2019,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genotyping; Table (database); East Asia; Epidemiology","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":[0.003597968,0.0008558382,0.001082381,0.003808686,0.001661638,0.002027513,0.002488058,0.001284352,0.6611958],"category_scores_gemma":[0.05113298,0.0006195236,0.0006958565,0.005629374,0.0003839138,0.00144174,0.001095699,0.001508186,0.1356805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003324829,"about_ca_system_score_gemma":0.0103258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1012167,"about_ca_topic_score_gemma":0.1716959,"domain_scores_codex":[0.9975656,0.0004515534,0.0004067713,0.0002729186,0.0010545,0.0002486249],"domain_scores_gemma":[0.9432553,0.02569909,0.003129273,0.002783179,0.02094819,0.004184947],"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":[0.00006810088,0.00006376186,0.00091489,0.0003643499,0.00001275602,0.00002752023,0.00001956081,0.00005589829,0.00008569571,0.0001984306,0.983927,0.01426202],"study_design_scores_gemma":[0.0006628483,0.0001629508,0.02517002,0.001756226,0.00009526446,0.0004373933,0.000341886,0.0006255346,0.0008814174,0.003701034,0.9660663,0.00009907712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009406735,0.0006777246,0.002257942,0.006449193,0.001193349,0.0009336272,0.9549656,0.002603438,0.02997845],"genre_scores_gemma":[0.02017088,0.003122026,0.02442357,0.01586554,0.001735797,0.002907321,0.8371506,0.00300569,0.09161857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8987833,"threshold_uncertainty_score":0.483263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241393528982241,"score_gpt":0.3472557410785129,"score_spread":0.2231163881802888,"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."}}