{"id":"W6942329646","doi":"10.1371/journal.pone.0292239.s002","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":"Economic evaluation; Markov model; Health technology; Economic model; Quality (philosophy); Health economics; MEDLINE; Systematic review","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":[0.1114726,0.005094087,0.009045296,0.01675077,0.002929685,0.009614768,0.01298745,0.006371856,0.4275485],"category_scores_gemma":[0.240983,0.007675642,0.01533485,0.01736374,0.004562907,0.0051837,0.006844222,0.01010671,0.04156718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009493629,"about_ca_system_score_gemma":0.0469286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156683,"about_ca_topic_score_gemma":0.01490675,"domain_scores_codex":[0.908968,0.04893378,0.02956473,0.005226538,0.005643006,0.001663862],"domain_scores_gemma":[0.7795692,0.1541783,0.01751238,0.01929922,0.02726466,0.002176331],"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":[0.002151222,0.0002378428,0.0005436143,0.3979496,0.00245664,0.0002845391,0.00137408,0.002120028,0.0003819923,0.01991984,0.5209477,0.05163287],"study_design_scores_gemma":[0.01589095,0.0003366442,0.002657393,0.1194936,0.002931609,0.0003831055,0.001634043,0.004566149,0.001093783,0.05003341,0.8003303,0.0006489667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001078108,0.003986012,0.03565233,0.01143852,0.005268594,0.2796837,0.6381447,0.01387104,0.01087694],"genre_scores_gemma":[0.002567003,0.001450602,0.0993218,0.001818326,0.0001861319,0.8636646,0.02527979,0.001328318,0.00438351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8885274,"threshold_uncertainty_score":0.8165326,"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."}}