{"id":"W2791841459","doi":"10.24095/hpcdp.38.3.01","title":"Childhood cancer incidence in Canada: demographic and geographic variation of temporal trends (1992–2010)","year":2018,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Demography; Medicine; Incidence (geometry); Thyroid cancer; Hepatoblastoma; Confidence interval; Cancer; Population; Cancer registry; Childhood cancer; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000371908,0.0001347142,0.0002820979,0.0003412795,0.00008188267,0.000006907768,0.00006000476,0.0000421395,0.000217689],"category_scores_gemma":[0.00004707112,0.0001333086,0.00002387575,0.0006908097,0.00009077585,0.0001022951,0.00004082127,0.000185012,1.683194e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005805067,"about_ca_system_score_gemma":0.06015868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998947,"about_ca_topic_score_gemma":0.999933,"domain_scores_codex":[0.9980884,0.0001801275,0.0005200623,0.0003331796,0.0004989604,0.0003793385],"domain_scores_gemma":[0.9990405,0.00003334174,0.0002043989,0.0001764681,0.00008354717,0.0004617633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097133,0.000166724,0.9598436,0.001014965,0.00002840038,0.00002479471,0.0001298578,0.00001404282,0.00001750228,0.00006765583,0.0005541789,0.03802852],"study_design_scores_gemma":[0.002687545,0.0002648824,0.9885273,0.000947441,0.00002346001,0.00001042733,0.00006627241,0.007081021,0.000006476316,0.0001669275,0.0001199829,0.00009828515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909906,0.002503677,0.00007191197,0.005604563,0.0001698572,0.0005632932,0.00006310772,0.000007330894,0.00002567539],"genre_scores_gemma":[0.9981937,0.001203384,0.00004420698,0.0002561009,0.00006831592,0.000101128,0.00006140739,0.00001239901,0.00005931566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435362,"threshold_uncertainty_score":0.9980115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739162199641859,"score_gpt":0.3090207136193852,"score_spread":0.2916290916229666,"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."}}