{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004576923,0.0002167196,0.0002070894,0.0008377691,0.000832597,0.001288178,0.0004243416,0.0003162017,0.002516029],"category_scores_gemma":[0.004039485,0.0001261023,0.0005951571,0.001644806,0.0001627415,0.0007336005,0.0008265301,0.0005911323,0.0002172623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658664,"about_ca_system_score_gemma":0.002248048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1613957,"about_ca_topic_score_gemma":0.2008237,"domain_scores_codex":[0.9997393,0.00004050258,0.00002689561,0.00004297766,0.00004904928,0.0001011542],"domain_scores_gemma":[0.9984101,0.0001440191,0.0007164467,0.00004974606,0.0003222642,0.0003573528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007084184,0.00002881707,0.9946668,0.000009885212,0.00002991305,0.00004535958,0.0002855572,0.0004879966,0.00003333241,0.0002115689,0.0006174256,0.003512562],"study_design_scores_gemma":[0.000006352803,0.00006437684,0.9947793,0.00002849432,0.00001797114,0.0001383624,0.0009933467,0.002599424,0.00003939107,0.0004295526,0.0008926221,0.00001081644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947291,0.0001874462,0.0002225941,0.0004668449,0.000005455316,0.00004168311,0.003237433,0.000007424354,0.00110196],"genre_scores_gemma":[0.9958143,0.0001534967,0.0002235587,0.00003390162,0.000003394951,0.0000235021,0.003413566,0.000003196683,0.0003309897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613957,"threshold_uncertainty_score":0.3209126,"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."}}