{"id":"W6885895241","doi":"10.1371/journal.pone.0283204.s001","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Confidence interval; Meta-analysis; Cohort; Cohort study; MEDLINE","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":[0.08736959,0.004813831,0.008033412,0.01277436,0.002223817,0.006746948,0.01057057,0.004837945,0.4017777],"category_scores_gemma":[0.1721441,0.006864022,0.01555493,0.01360207,0.003043841,0.003564202,0.00531026,0.008506086,0.04482447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007967914,"about_ca_system_score_gemma":0.04618816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387068,"about_ca_topic_score_gemma":0.01767926,"domain_scores_codex":[0.9487997,0.02598805,0.01758607,0.003330009,0.003204595,0.001091586],"domain_scores_gemma":[0.8618279,0.09235369,0.01054371,0.01267061,0.02114522,0.001458941],"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":[0.002229574,0.0002354004,0.0005298343,0.406689,0.002437612,0.0002050302,0.001097345,0.001832404,0.0002879366,0.01224942,0.5200354,0.05217099],"study_design_scores_gemma":[0.0161792,0.0003948041,0.00279833,0.1305136,0.003703948,0.0002990704,0.001362381,0.003594669,0.0008478416,0.03658306,0.8032209,0.0005021811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009603088,0.004941933,0.03070226,0.007416978,0.003801606,0.3002705,0.6321108,0.0103042,0.009491386],"genre_scores_gemma":[0.001616516,0.001858716,0.0748686,0.001219507,0.0001254674,0.8866922,0.0271822,0.001097228,0.005339658],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9126304,"threshold_uncertainty_score":0.8532915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053487515978936,"score_gpt":0.2827881682758453,"score_spread":0.2522532931160559,"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."}}