{"id":"W1987460245","doi":"10.1002/pbc.20156","title":"Waiting times for cancer care in Canadian children: Impact of distance, clinical, and demographic factors","year":2004,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Pediatric Oncology Group; University of Toronto; McMaster University; Hospital for Sick Children; Health Canada","funders":"","keywords":"Medicine; Residence; Quartile; Logistic regression; Odds; Odds ratio; Demography; Cancer; Pediatrics; Emergency medicine; Confidence interval; Internal 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":[0.0002120976,0.0002348452,0.0005660954,0.0004909908,0.00008759918,0.00001641842,0.0001381207,0.000200132,0.00007988862],"category_scores_gemma":[0.0002451092,0.0001882918,0.0002305945,0.0008121824,0.0001646821,0.00007934131,0.00003485973,0.0003095648,7.659919e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008051316,"about_ca_system_score_gemma":0.007593013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5864627,"about_ca_topic_score_gemma":0.3833624,"domain_scores_codex":[0.9979949,0.00002966701,0.0005155327,0.0004324682,0.0002810976,0.0007463287],"domain_scores_gemma":[0.9985846,0.0001965502,0.0001519931,0.000231153,0.0002231687,0.0006124884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256121,0.00006842017,0.996489,0.0002800992,0.000199132,0.00001150398,0.000356211,0.0001145759,0.000007982185,0.00002754178,0.0003073045,0.002012614],"study_design_scores_gemma":[0.008017096,0.0005098517,0.9898367,0.0001579083,0.0006671151,0.000008597633,0.0001168497,0.00012619,0.00007367022,0.00004277342,0.0002209166,0.0002223491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751866,0.02269788,0.00001014617,0.0002121957,0.0001139439,0.0008617294,0.0007902095,0.00002092511,0.0001063449],"genre_scores_gemma":[0.9897535,0.00899702,0.0001622604,0.00008154672,0.0007440887,0.00012991,0.00005453444,0.00004742728,0.0000297127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2031003,"threshold_uncertainty_score":0.998033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514088204401151,"score_gpt":0.34169375949046,"score_spread":0.3265528774464486,"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."}}