{"id":"W2294964188","doi":"10.3747/co.23.2995","title":"Cost Trajectories for Cancer Patients","year":2016,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Institute for Clinical Evaluative Sciences; McMaster University; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Medicine; Cancer; Health care; Logistic regression; Retrospective cohort study; Population; Cohort; Demography; Environmental health; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721927,0.0001271033,0.0003843593,0.00008865171,0.0000727449,0.00001542041,0.0001683571,0.0001067976,0.0005566109],"category_scores_gemma":[0.0002378306,0.0001088954,0.0001079187,0.00005629426,0.00009534207,0.0002231907,0.00003021822,0.00005994821,0.0002926755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005316689,"about_ca_system_score_gemma":0.00007853963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000407953,"about_ca_topic_score_gemma":0.0001177031,"domain_scores_codex":[0.9988769,0.000006319575,0.0004331738,0.00031381,0.00001362533,0.0003561732],"domain_scores_gemma":[0.9992616,0.0001134065,0.0003021202,0.0001450414,0.0000801252,0.0000976609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008220675,0.000222687,0.4344864,0.00002403859,0.00002877345,1.414447e-7,0.0002172094,0.000001022765,0.000006993425,0.1042804,0.02950533,0.4311448],"study_design_scores_gemma":[0.001731173,0.0001936618,0.07528692,0.00001643207,0.000005053727,1.545997e-7,0.000006807069,0.00001272036,0.00006087298,0.01874608,0.9037655,0.0001746421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804473,0.01549133,0.03245097,0.006216031,0.02891901,0.002084654,0.005374238,0.0001330133,0.02888341],"genre_scores_gemma":[0.9947419,0.002086709,0.0001651741,0.0002715964,0.0009112702,0.000586447,0.00002014272,0.00002979055,0.001187036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8742602,"threshold_uncertainty_score":0.6094499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686474559369343,"score_gpt":0.3685627749843124,"score_spread":0.1999153190473781,"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."}}