{"id":"W4402927056","doi":"10.1186/s12913-024-11514-x","title":"Economic burden of patients with leading cancers in China: a cost-of-illness study","year":2024,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Peking Union Medical College; Chinese Academy of Medical Sciences","keywords":"Medicine; Nursing research; Health administration; Public health; China; Health economics; Health informatics; Quality of Life Research; Intensive care medicine; Health services research; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001312018,0.0006669089,0.0005431297,0.002474775,0.0007236566,0.0009151868,0.0007437235,0.0005319623,0.001152998],"category_scores_gemma":[0.003066173,0.0003506958,0.001366308,0.003963872,0.000434084,0.0008255871,0.001190746,0.0006530075,0.0001015521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005566939,"about_ca_system_score_gemma":0.003809377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08757304,"about_ca_topic_score_gemma":0.08492652,"domain_scores_codex":[0.9990804,0.0002280771,0.0001472166,0.0001136823,0.0001996554,0.0002309693],"domain_scores_gemma":[0.9977649,0.0002106631,0.001034665,0.0001112646,0.0003624924,0.000515931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006632393,0.00005845726,0.9972274,0.00003929683,0.0001394103,0.000113609,0.0001094893,0.0002907445,0.00002531529,0.00006342014,0.0003198393,0.001546715],"study_design_scores_gemma":[0.00002223209,0.00007057216,0.9974059,0.00003053413,0.00009942897,0.0001050202,0.0003228751,0.001554191,0.00002151166,0.00005849807,0.000298198,0.00001095306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973597,0.0004566691,0.00006943376,0.0002631966,0.000006287049,0.0000721129,0.001456418,0.000002021841,0.0003140791],"genre_scores_gemma":[0.9977705,0.0003200395,0.0001106206,0.0000938364,0.0000121722,0.00005428675,0.001532075,0.000001038866,0.0001054127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08757304,"threshold_uncertainty_score":0.1741266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787830116364973,"score_gpt":0.3676621619734917,"score_spread":0.3197838608098419,"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."}}