{"id":"W6961384310","doi":"10.1371/journal.pone.0283879.s002","title":"PRISMA checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Years of potential life lost; Mortality rate; Population; Life expectancy; Disease; Epidemiology; Quality of life (healthcare)","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":[0.07593156,0.004705763,0.008508012,0.01768671,0.003421426,0.009440895,0.009736301,0.005696784,0.4463758],"category_scores_gemma":[0.2198542,0.006014912,0.01543471,0.01658814,0.003312887,0.005659275,0.007126471,0.009262987,0.05031439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01145768,"about_ca_system_score_gemma":0.06135316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119159,"about_ca_topic_score_gemma":0.01870044,"domain_scores_codex":[0.9450565,0.02564023,0.01929954,0.00432529,0.004454056,0.0012243],"domain_scores_gemma":[0.8089368,0.1199416,0.01512372,0.01646092,0.03715562,0.00238124],"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":[0.001643893,0.0002213701,0.0004511912,0.4872791,0.001625057,0.0002003495,0.00112487,0.001249713,0.0002488517,0.0124309,0.4466067,0.04691792],"study_design_scores_gemma":[0.01202961,0.0003394974,0.002746675,0.2187491,0.002860405,0.000279211,0.001765804,0.001757193,0.000609507,0.03843177,0.7200207,0.0004105526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0008544096,0.006628412,0.01834112,0.01067014,0.004696164,0.3937538,0.5451404,0.005662575,0.01425303],"genre_scores_gemma":[0.001395981,0.002578733,0.04782029,0.00158547,0.0001816601,0.916392,0.02441418,0.0005849262,0.005046752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9240685,"threshold_uncertainty_score":0.7896777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5567058623171242,"score_gpt":0.4532053670493501,"score_spread":0.1035004952677741,"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."}}