{"id":"W6923659876","doi":"10.1371/journal.pone.0286245.s001","title":"PRISMA 2020 checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Minority Rights and Languages","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Family history; Risk factor; Epidemiology; Blood pressure; Disease; Sedentary lifestyle; Population","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":[0.08374912,0.004978768,0.01102426,0.01596409,0.002561604,0.008488609,0.009587544,0.004938041,0.3320563],"category_scores_gemma":[0.1873405,0.005869282,0.01570711,0.0174756,0.003749027,0.004487343,0.005525567,0.008497991,0.0300367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009180204,"about_ca_system_score_gemma":0.04699386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101541,"about_ca_topic_score_gemma":0.0130613,"domain_scores_codex":[0.9352675,0.02910971,0.0242832,0.004733021,0.005239022,0.001367483],"domain_scores_gemma":[0.8468513,0.1020472,0.01242527,0.01372867,0.02340452,0.001543121],"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":[0.0020315,0.0002135957,0.0005362436,0.5770207,0.003021965,0.000252869,0.001184071,0.001526014,0.0003478944,0.01387849,0.3506369,0.04934968],"study_design_scores_gemma":[0.01420847,0.0004080555,0.003346109,0.1811836,0.005266516,0.0004116204,0.001804671,0.003814591,0.001057713,0.03784392,0.7500936,0.0005611266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001358261,0.007478831,0.03281706,0.01026223,0.007715323,0.3688447,0.5489469,0.01171864,0.01085816],"genre_scores_gemma":[0.002240266,0.002250637,0.07837859,0.001092537,0.0001809752,0.893464,0.01705533,0.0009852136,0.004352499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9162509,"threshold_uncertainty_score":0.9527407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813336140089131,"score_gpt":0.3244332829790115,"score_spread":0.2962999215781202,"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."}}