{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004233251,0.0003371231,0.0003894056,0.002353793,0.0008483859,0.001510408,0.001133025,0.0006198206,0.001140214],"category_scores_gemma":[0.0122226,0.000628232,0.0007344514,0.005873661,0.0005089658,0.0009365613,0.001356446,0.001072938,0.0003428658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988736,"about_ca_system_score_gemma":0.002473479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09791719,"about_ca_topic_score_gemma":0.1005268,"domain_scores_codex":[0.9961004,0.001638599,0.000425762,0.0005074239,0.000907602,0.0004201861],"domain_scores_gemma":[0.9892855,0.002647076,0.004738484,0.001037917,0.001513956,0.0007769326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000202945,0.00003325989,0.9993868,0.000006962661,0.00003288619,0.00001688502,0.0001341336,0.0000177149,0.00001900708,0.000009352048,0.00004789542,0.0002747264],"study_design_scores_gemma":[0.000009795251,0.00009804592,0.9982699,0.00001838272,0.00003870418,0.0001022134,0.000896111,0.000284087,0.00002688885,0.00001361693,0.0002377841,0.000004516766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978257,0.0001641644,0.0001669974,0.00007909748,0.000005391149,0.00005899321,0.00129296,0.000003606907,0.0004031454],"genre_scores_gemma":[0.9986838,0.0001008123,0.0002137603,0.00005754044,0.000007917129,0.00006282989,0.000795865,0.00000237738,0.00007506148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09791719,"threshold_uncertainty_score":0.1946945,"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."}}