{"id":"W6907846882","doi":"10.25384/sage.24310521.v1","title":"sj-docx-1-cjk-10.1177_20543581231205161 – Supplemental material for Nontargeted Native Renal Biopsy Adequacy: Preintervention Data From a Province-Wide, Multicentre, and Interdepartmental Audit","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Kidney disease; Renal biopsy; Biopsy; Kidney; Disease","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":[0.00318157,0.0008414175,0.001072858,0.004507879,0.0012874,0.003591698,0.002629637,0.002029369,0.9226099],"category_scores_gemma":[0.05156201,0.001186159,0.0008234806,0.004962134,0.0004902764,0.002470347,0.002080216,0.001668175,0.5578318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002793085,"about_ca_system_score_gemma":0.00414924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165253,"about_ca_topic_score_gemma":0.04491163,"domain_scores_codex":[0.9973972,0.0003233249,0.0005555103,0.0003335375,0.0009946462,0.0003958422],"domain_scores_gemma":[0.9436113,0.02512078,0.003396948,0.00313083,0.02114563,0.003594488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006721743,0.0000265597,0.0003823158,0.000217531,0.000002770915,0.00001286119,0.0000158466,0.00002391863,0.00002131687,0.00008883826,0.9955993,0.003541515],"study_design_scores_gemma":[0.001521442,0.0001164836,0.02413231,0.002016001,0.00003327365,0.0002511398,0.0006181855,0.0003763481,0.0006216849,0.001888112,0.9683099,0.000115234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004890686,0.00005890392,0.0003562385,0.001151351,0.0004673754,0.000427873,0.976621,0.001880978,0.0185472],"genre_scores_gemma":[0.01034566,0.0003394949,0.004316086,0.003075274,0.0009057514,0.002994394,0.8840686,0.004324764,0.08962999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9683475,"threshold_uncertainty_score":0.1103876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318581873675911,"score_gpt":0.3186882574266783,"score_spread":0.2655024386899192,"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."}}