{"id":"W4411734513","doi":"10.1007/978-3-031-87083-5_32","title":"Network Meta-analyses in Surgical Trials","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Centre Hospitalier de l’Université de Montréal; Impact","funders":"","keywords":"Meta-analysis; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008957765,0.001450479,0.001812472,0.003212524,0.0003085395,0.002224128,0.001539697,0.002207899,0.02762133],"category_scores_gemma":[0.04159679,0.001408135,0.001383249,0.004073376,0.001041056,0.003310753,0.001573103,0.003525926,0.009905464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175741,"about_ca_system_score_gemma":0.002099529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156318,"about_ca_topic_score_gemma":0.008640873,"domain_scores_codex":[0.9937978,0.004617751,0.0003098909,0.0002808311,0.000931696,0.00006204857],"domain_scores_gemma":[0.9618818,0.03609579,0.0004636393,0.0008464442,0.0005846631,0.0001276868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005496329,0.00003015045,0.0001712581,0.004189418,0.0004960884,0.00009118106,0.0001161021,0.007289874,0.0001707474,0.2187065,0.4772681,0.2914157],"study_design_scores_gemma":[0.00004294731,0.00002986061,0.0002468738,0.002554676,0.0002581098,0.0002254114,0.00002984637,0.006928916,0.0002268866,0.6012207,0.3881997,0.00003615481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006870236,0.3651857,0.4348787,0.02080917,0.01197134,0.0002281397,0.002833128,0.001555867,0.1618509],"genre_scores_gemma":[0.02008322,0.2903094,0.4760719,0.01873929,0.0157801,0.001832915,0.002280904,0.003271467,0.1716308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02762133,"threshold_uncertainty_score":0.09240258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9702333864145043,"score_gpt":0.6446256891621618,"score_spread":0.3256076972523425,"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."}}