{"id":"W2623923854","doi":"10.1002/hon.2439_189","title":"ENGAGING ADMINISTRATIVE DATA TO DETERMINE TIME TO DIAGNOSIS AND TREATMENT OF LYMPHOMA: A POPULATION BASED STUDY","year":2017,"lang":"en","type":"article","venue":"Hematological Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Medicine; Cancer registry; Referral; Cumulative incidence; Population; Incidence (geometry); Cohort; Diagnosis code; Pediatrics; Cancer; Internal medicine; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001606525,0.0001931121,0.00084394,0.00007816753,0.0001856061,0.00002376838,0.0001712344,0.0001013093,0.0001858145],"category_scores_gemma":[0.0006471448,0.0001273971,0.00005054687,0.00005437898,0.00004818789,0.00005607953,0.0002025037,0.00002330446,0.00007086577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760357,"about_ca_system_score_gemma":0.0001123913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497665,"about_ca_topic_score_gemma":0.000230273,"domain_scores_codex":[0.9986539,0.0001218505,0.0003449041,0.0005225753,0.0001433684,0.0002133989],"domain_scores_gemma":[0.9979702,0.0006411548,0.0001700442,0.0008846531,0.00005178306,0.0002821425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005390525,0.008959306,0.8795564,0.0000143557,0.0001219888,0.00103146,0.000255917,7.551654e-7,0.00007595329,0.00003586429,0.0002220352,0.1091869],"study_design_scores_gemma":[0.006138282,0.01676873,0.9711984,0.00005346398,0.0003140123,0.0001017406,0.0001276665,0.0001783934,0.001216177,0.00001100274,0.003774534,0.0001176414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926296,0.00007431963,0.000008357953,0.004841287,0.00003819118,0.00166473,0.00005394865,0.00002757709,0.0006619407],"genre_scores_gemma":[0.9954315,0.00001342376,0.003443906,0.0003685359,0.00003670842,0.0005691186,0.00006130862,0.000009324813,0.00006613208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090693,"threshold_uncertainty_score":0.5195104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2214394547318324,"score_gpt":0.427478478394114,"score_spread":0.2060390236622816,"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."}}