{"id":"W2987851473","doi":"10.1182/blood-2019-131407","title":"Resource Utilization and Costs in the Care of Patients with Hematologic Malignancies","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health; Institute for Clinical Evaluative Sciences; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Medicine; Interquartile range; Diffuse large B-cell lymphoma; Population; Cancer registry; Cohort; Lymphoma; Health care; Cancer; Internal medicine; Pediatrics","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":[0.0006064524,0.0001595712,0.0001730053,0.0009007307,0.0003245512,0.0006962665,0.0004014661,0.0002103818,0.001250439],"category_scores_gemma":[0.004744736,0.0001195733,0.0003051894,0.002608863,0.0002269765,0.0003544105,0.0005517635,0.0003536032,0.0000816723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004051093,"about_ca_system_score_gemma":0.00268875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1992246,"about_ca_topic_score_gemma":0.2769619,"domain_scores_codex":[0.9991875,0.0002409492,0.0001137657,0.0000657553,0.0002306869,0.000161307],"domain_scores_gemma":[0.9977974,0.0003262407,0.001325606,0.00004299739,0.0002788332,0.0002289952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003094482,0.00001445342,0.9967101,0.00002378482,0.00003876829,0.00003296004,0.00005886272,0.0002707499,0.00002308505,0.00004853084,0.0004083039,0.002339525],"study_design_scores_gemma":[0.000002828504,0.00001691468,0.9987859,0.00002234174,0.00001323713,0.00006101334,0.0001618585,0.000452845,0.00001577833,0.00003719285,0.0004279068,0.000002268086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944331,0.001088469,0.0001003134,0.0004852526,0.000006769924,0.00002548052,0.002659676,0.000003098534,0.001197953],"genre_scores_gemma":[0.9981959,0.0003563821,0.0001311158,0.00006105306,0.000008519358,0.00001500688,0.001147662,0.000001314499,0.00008296392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992246,"threshold_uncertainty_score":0.3961301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556076929118334,"score_gpt":0.1934238679832967,"score_spread":0.1778630986921134,"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."}}