{"id":"W2743322474","doi":"10.1002/cam4.1119","title":"Cost‐effectiveness analysis of potentially curative and combination treatments for hepatocellular carcinoma with person‐level data in a Canadian setting","year":2017,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Ontario Institute for Cancer Research; Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; University Health Network; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; University of British Columbia; Public Health Ontario","funders":"University of Toronto; Government of Ontario; Ontario Ministry of Health and Long-Term Care; Ontario Institute for Cancer Research; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Medicine; Hepatocellular carcinoma; Radiofrequency ablation; Cost effectiveness; Liver transplantation; Logistic regression; Incremental cost-effectiveness ratio; Surgery; Internal medicine; Quality-adjusted life year; Oncology; Transplantation; Ablation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006604681,0.0009110777,0.001318134,0.002502101,0.001105763,0.001681927,0.002194987,0.000736251,0.002026018],"category_scores_gemma":[0.02150805,0.000598369,0.00352019,0.006611671,0.0006585735,0.000556276,0.0009365813,0.001310009,0.00011658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07903853,"about_ca_system_score_gemma":0.0524096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879413,"about_ca_topic_score_gemma":0.9840059,"domain_scores_codex":[0.995544,0.001727683,0.0002885615,0.0004279046,0.001197737,0.0008142422],"domain_scores_gemma":[0.990298,0.003805546,0.001910924,0.0004336541,0.002735082,0.0008169073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004819504,0.0009376019,0.7129626,0.002113251,0.009873962,0.0006262726,0.0004529158,0.2086304,0.00055431,0.00668076,0.01025442,0.04209396],"study_design_scores_gemma":[0.001575284,0.0007965979,0.7446615,0.0005417346,0.004292783,0.0003641739,0.0006505538,0.2376598,0.0003834086,0.001326429,0.007481115,0.0002666521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571804,0.006863131,0.002345831,0.001827245,0.00004975665,0.0006306901,0.02653262,0.00006683865,0.004503461],"genre_scores_gemma":[0.9887252,0.0011434,0.002029823,0.0001667199,0.00001289417,0.0001382798,0.007377746,0.00001023101,0.0003957481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07903853,"threshold_uncertainty_score":0.5734674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2209686812603114,"score_gpt":0.3626425450474925,"score_spread":0.1416738637871812,"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."}}