{"id":"W6904618457","doi":"10.1371/journal.pone.0309837.s008","title":"PRISMA 2020 checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Older people; MEDLINE; Systematic review; Meta-analysis; Scale (ratio); Health care; Risk assessment","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":[0.0929648,0.004954557,0.007931475,0.01511632,0.002670531,0.007447611,0.01191803,0.005272881,0.3793032],"category_scores_gemma":[0.199825,0.006973728,0.01580321,0.01718493,0.003525515,0.003910048,0.006095259,0.01014413,0.04737345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009158872,"about_ca_system_score_gemma":0.05266509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549145,"about_ca_topic_score_gemma":0.02001242,"domain_scores_codex":[0.9429435,0.02906424,0.01925533,0.00356703,0.003984668,0.001185284],"domain_scores_gemma":[0.8406361,0.1048801,0.01134751,0.01467049,0.02681325,0.001652706],"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":[0.00196497,0.0002274664,0.0004667274,0.3535554,0.001897228,0.0002012453,0.00104752,0.001997066,0.000288239,0.01335471,0.5779665,0.04703302],"study_design_scores_gemma":[0.01413192,0.0003699551,0.002670985,0.1414679,0.003046568,0.0003047946,0.001439177,0.003386477,0.000765069,0.03984482,0.79208,0.0004923634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008112102,0.00492164,0.02873059,0.009744131,0.004950068,0.2755245,0.6546645,0.01023442,0.01041905],"genre_scores_gemma":[0.001445837,0.001990155,0.08037373,0.001436066,0.0001578582,0.8767601,0.03106577,0.001167005,0.005603573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9070352,"threshold_uncertainty_score":0.8853487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952178403389429,"score_gpt":0.2974835028686224,"score_spread":0.2679617188347281,"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."}}