{"id":"W6885951457","doi":"10.1371/journal.pone.0286191.s003","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Rheumatoid arthritis; Odds ratio; Confidence interval; MEDLINE; Interstitial lung disease; Subgroup analysis","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":[0.08387434,0.004688419,0.008999779,0.01300406,0.002370333,0.006962991,0.009583334,0.004537094,0.4165729],"category_scores_gemma":[0.1590844,0.00620716,0.0140823,0.01427438,0.002955824,0.003900455,0.005147834,0.008012138,0.04277696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007503061,"about_ca_system_score_gemma":0.04795695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136631,"about_ca_topic_score_gemma":0.01627321,"domain_scores_codex":[0.9566604,0.01987791,0.01671204,0.003054308,0.002684542,0.001010773],"domain_scores_gemma":[0.8720714,0.0819604,0.01091285,0.01253577,0.02085549,0.001664069],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00256569,0.0002569342,0.0005625606,0.5015336,0.002364754,0.0002805855,0.001375185,0.001877293,0.000419601,0.01257576,0.4314418,0.04474621],"study_design_scores_gemma":[0.01541985,0.0004415385,0.002832609,0.1411747,0.003871501,0.0003540493,0.001612953,0.003436738,0.0009496385,0.03507537,0.7942727,0.0005583438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001177633,0.004546179,0.02649285,0.006618086,0.003788453,0.326438,0.6111802,0.01101258,0.008745985],"genre_scores_gemma":[0.001595843,0.001655349,0.07256793,0.001096906,0.0001281976,0.8948629,0.02234425,0.001034206,0.004714422],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9161257,"threshold_uncertainty_score":0.832188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281192328709441,"score_gpt":0.2817721531546489,"score_spread":0.2589602298675545,"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."}}