{"id":"W4410608687","doi":"10.1002/pbc.31810","title":"Long‐Term Projections of Childhood Cancer Incidence and Prevalence in Ontario, Canada Until 2040","year":2025,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Pediatric Oncology Group of Ontario; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Cancer; Incidence (geometry); Childhood cancer; Demography; Population; Projections of population growth; Relative survival; Epidemiology; Malignancy; Pediatrics; Cancer registry; Environmental health; Internal medicine; Population growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006893402,0.0005172148,0.0002743812,0.0009464041,0.001059107,0.0007891874,0.0009466995,0.0003994028,0.003009449],"category_scores_gemma":[0.001917369,0.0003507829,0.001023558,0.001567476,0.0002958776,0.0004052772,0.0005832671,0.000439245,0.0004285966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04099224,"about_ca_system_score_gemma":0.04706891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918996,"about_ca_topic_score_gemma":0.9926109,"domain_scores_codex":[0.9995562,0.00005315157,0.00002067399,0.00005096311,0.0001881011,0.0001307407],"domain_scores_gemma":[0.9986904,0.00007796061,0.0001305094,0.00002605289,0.0009164345,0.0001586055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002873019,0.00005495505,0.5332232,0.0004993006,0.0004384411,0.0005011525,0.0007851177,0.3861705,0.001244002,0.00593301,0.04154618,0.02931692],"study_design_scores_gemma":[0.0001841312,0.0001249966,0.5390646,0.0004845207,0.0003672687,0.0002859728,0.00173489,0.3748412,0.0009067672,0.002781429,0.07907816,0.0001461251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601705,0.003496519,0.01310188,0.007239751,0.0001193589,0.0002865408,0.1888092,0.0005353749,0.02624082],"genre_scores_gemma":[0.9369239,0.002250408,0.007162868,0.000366199,0.00002224521,0.0001499187,0.04577794,0.00004472318,0.007301698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04099224,"threshold_uncertainty_score":0.2974209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007982319345638016,"score_gpt":0.2753899550001262,"score_spread":0.2674076356544882,"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."}}