{"id":"W6923723572","doi":"10.1371/journal.pone.0290644.s001","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxaliplatin; Cohort; Adverse effect; Pembrolizumab; Meta-analysis; Cohort study; Overall survival; Bevacizumab","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":[0.07454205,0.003829936,0.008085343,0.01142184,0.002019433,0.006816478,0.008237757,0.004389712,0.3877281],"category_scores_gemma":[0.1804726,0.005602678,0.01305805,0.01496049,0.003047752,0.00366002,0.004657776,0.008289348,0.03598846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007304586,"about_ca_system_score_gemma":0.04023337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067268,"about_ca_topic_score_gemma":0.0143369,"domain_scores_codex":[0.9546121,0.02246917,0.01544456,0.003397621,0.003019539,0.001057047],"domain_scores_gemma":[0.8505537,0.1017975,0.0121788,0.01279669,0.02114433,0.0015291],"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":[0.002403293,0.0001921122,0.0005389546,0.4983477,0.002758167,0.0001993961,0.001017152,0.001984482,0.0002788951,0.01330163,0.4387735,0.04020476],"study_design_scores_gemma":[0.0186886,0.0004470312,0.003182321,0.1526539,0.005074867,0.0002949284,0.001581135,0.004097566,0.0008903565,0.04003348,0.7725364,0.0005193928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001131972,0.003942798,0.02377302,0.007726928,0.003970571,0.2714932,0.6698548,0.008298393,0.009808386],"genre_scores_gemma":[0.00226142,0.001541907,0.06217815,0.001379559,0.0001335174,0.9026941,0.02375716,0.001048595,0.005005673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.925458,"threshold_uncertainty_score":0.8733315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112316286502735,"score_gpt":0.2799147557325322,"score_spread":0.1686831270822586,"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."}}