{"id":"W6960798866","doi":"10.1371/journal.pone.0297082.s001","title":"PRISMA checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Funnel plot; Diabetes mellitus; Diabetic nephropathy; Odds ratio; Publication bias; Meta-analysis; 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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07213566,0.004597539,0.008595983,0.01328689,0.003316068,0.009020165,0.008335814,0.005149688,0.494928],"category_scores_gemma":[0.1839698,0.005949216,0.01424148,0.01431433,0.003174777,0.004527763,0.005928059,0.009433067,0.05611636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015048,"about_ca_system_score_gemma":0.05546776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207605,"about_ca_topic_score_gemma":0.01963248,"domain_scores_codex":[0.9540526,0.02239038,0.0150347,0.003800317,0.003629026,0.001092905],"domain_scores_gemma":[0.8324121,0.1055008,0.01204484,0.01690517,0.03086995,0.002266987],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002589359,0.0003344657,0.0004393139,0.3757202,0.001636304,0.0001974379,0.001251562,0.001448244,0.000312448,0.01218194,0.5555536,0.04833512],"study_design_scores_gemma":[0.01647296,0.0003818856,0.00243384,0.1469253,0.002202644,0.0002328779,0.001606892,0.002210444,0.000629655,0.03821165,0.788225,0.0004668481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000970074,0.004157086,0.01894909,0.009538822,0.004852689,0.3865072,0.554963,0.008085351,0.01197673],"genre_scores_gemma":[0.001254782,0.001528723,0.05300298,0.001464712,0.0001460351,0.9170426,0.01865692,0.0008087216,0.006094522],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9278643,"threshold_uncertainty_score":0.7204239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183658147940444,"score_gpt":0.250180184324813,"score_spread":0.2318143695307686,"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."}}