{"id":"W6904467868","doi":"10.1371/journal.pone.0286627.s001","title":"PRISMA checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetic retinopathy; Diabetes mellitus; Glycemic; Funnel plot; Cochrane Library; Odds ratio; MEDLINE; Publication bias","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":[0.06549858,0.004242356,0.007713893,0.01300036,0.003106578,0.007637247,0.00857254,0.004684879,0.4566036],"category_scores_gemma":[0.1646022,0.00521895,0.0136646,0.01264762,0.002701452,0.004216914,0.005585503,0.008312688,0.0489871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009481512,"about_ca_system_score_gemma":0.05688106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276577,"about_ca_topic_score_gemma":0.02198271,"domain_scores_codex":[0.9605094,0.01779997,0.01434664,0.003069534,0.003306146,0.0009683662],"domain_scores_gemma":[0.8665156,0.07836233,0.01039456,0.01305799,0.02973527,0.001934214],"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":[0.002264815,0.0003013273,0.0004480988,0.3623146,0.001405479,0.000202264,0.001064675,0.001118226,0.0002755588,0.01038327,0.5678999,0.05232173],"study_design_scores_gemma":[0.01326972,0.0003495094,0.002558827,0.1485313,0.002196713,0.0002709832,0.001549265,0.00170605,0.0005808539,0.03128422,0.7973125,0.0003900052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001050452,0.006050084,0.01883937,0.009738344,0.00531726,0.3933261,0.5429813,0.007287968,0.01540913],"genre_scores_gemma":[0.001526529,0.00243011,0.06032439,0.001597651,0.0001686575,0.9035785,0.02202884,0.0008292511,0.007515948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9345014,"threshold_uncertainty_score":0.775089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0496908026527977,"score_gpt":0.3241511149837749,"score_spread":0.2744603123309772,"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."}}