{"id":"W3174798083","doi":"10.1080/13696998.2021.1948681","title":"Healthcare costs of patients with cancer stratified by Khorana score risk levels","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"Janssen Scientific Affairs","keywords":"Medicine; Cancer; Health care; Internal medicine; Intensive care medicine; Emergency medicine","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":[0.0003617957,0.000254185,0.000386677,0.0009946858,0.0003968793,0.0008025373,0.0002602983,0.0003260022,0.001748458],"category_scores_gemma":[0.002398793,0.0001666201,0.0007175858,0.001601881,0.0001562616,0.0005868769,0.0007250431,0.0004946841,0.0001774825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007771812,"about_ca_system_score_gemma":0.0004901175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244749,"about_ca_topic_score_gemma":0.01097749,"domain_scores_codex":[0.9994571,0.00009889363,0.00009164397,0.0001203248,0.00007669463,0.0001553935],"domain_scores_gemma":[0.9988373,0.0001403524,0.0006742044,0.00004935811,0.0001031974,0.0001955747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001613798,0.00001928281,0.9983214,0.000008058574,0.00006410886,0.00002741373,0.00001624369,0.0001593181,0.00002419248,0.00001899176,0.0001847326,0.0009950433],"study_design_scores_gemma":[0.00001215094,0.00006381334,0.9989387,0.000007532431,0.00003629929,0.00009953411,0.00008750753,0.0005368226,0.00001564647,0.00003708154,0.0001610867,0.000003712402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979016,0.000219789,0.00002991586,0.00006842058,0.00000607551,0.000009965866,0.001429974,0.000002543624,0.0003318116],"genre_scores_gemma":[0.9981138,0.00009716581,0.00003592636,0.00002297637,0.00001108872,0.0000125563,0.001613568,0.000001005198,0.00009194404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244749,"threshold_uncertainty_score":0.02475005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215413749003517,"score_gpt":0.2896104888378828,"score_spread":0.2680691139375311,"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."}}