{"id":"W2526413890","doi":"10.1200/jco.2004.22.90140.8251","title":"Characteristics of out-of-pocket costs for cancer patients in Ontario, Canada","year":2004,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Health care; Cancer; Indirect costs; Demography; Family medicine; Environmental health; Internal medicine; Business","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003032549,0.0002247076,0.0003160615,0.0008460182,0.001634407,0.0008476849,0.0006712126,0.000375885,0.003568455],"category_scores_gemma":[0.002019182,0.0002411066,0.0004173951,0.003256674,0.0003934377,0.0003507762,0.0004574206,0.0004759775,0.000280397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01777248,"about_ca_system_score_gemma":0.01520571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747184,"about_ca_topic_score_gemma":0.9890622,"domain_scores_codex":[0.9992545,0.00004753531,0.00006678615,0.00006855767,0.0002719907,0.0002905735],"domain_scores_gemma":[0.9970193,0.0001479384,0.001060337,0.00004870375,0.0008972599,0.0008265997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000499098,0.00002410623,0.9950204,0.00002886773,0.00001791478,0.00009956314,0.000477706,0.00006402346,0.00007147423,0.00002953941,0.001923865,0.00219281],"study_design_scores_gemma":[0.000004155215,0.00001433629,0.9984328,0.00001293695,0.000005072418,0.00004411515,0.0005697159,0.00007698627,0.000008446507,0.000004696923,0.0008220217,0.000004697751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887335,0.0004490836,0.00004176806,0.0006053625,0.00001189579,0.00005888162,0.006000163,0.000007097283,0.004092248],"genre_scores_gemma":[0.9955416,0.0003190451,0.00007358255,0.0001666762,0.00000818602,0.00002843279,0.002495849,0.000004601787,0.001362062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02528161,"threshold_uncertainty_score":0.128949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104215083089181,"score_gpt":0.3655600104090151,"score_spread":0.2613449273198342,"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."}}