{"id":"W2998102956","doi":"10.1002/cncr.32671","title":"Incidence of acute myeloid leukemia: A regional analysis of Canada","year":2019,"lang":"en","type":"letter","venue":"Cancer","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; University of Ottawa","funders":"","keywords":"Medicine; Incidence (geometry); Population; Epidemiology; Disease; Family medicine; Pathology; Environmental health","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":[0.00142689,0.0004262418,0.0006906057,0.005049914,0.002065512,0.001946572,0.001449118,0.0004793744,0.002671532],"category_scores_gemma":[0.005023872,0.0003700931,0.001474875,0.01419571,0.0006261745,0.0003928495,0.001354458,0.0007508375,0.0004470345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03567681,"about_ca_system_score_gemma":0.04917832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950193,"about_ca_topic_score_gemma":0.9955374,"domain_scores_codex":[0.9976749,0.0002017597,0.0002302213,0.0004633531,0.0009378751,0.0004918606],"domain_scores_gemma":[0.9915304,0.0003047009,0.0008580267,0.0003411935,0.005989267,0.0009764247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001814632,0.00001727044,0.9828534,0.0001533216,0.0003166498,0.0001585749,0.000432009,0.0004210162,0.0002021766,0.000382603,0.006255047,0.008626553],"study_design_scores_gemma":[0.0000154179,0.00001604846,0.994804,0.00006302117,0.00009996492,0.0001521272,0.0005927328,0.0004354564,0.00007686918,0.00003869478,0.003686467,0.00001929144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701183,0.01482956,0.000797714,0.002209636,0.0001326297,0.000264665,0.09820462,0.0001319453,0.01331096],"genre_scores_gemma":[0.9785379,0.004301891,0.000859435,0.0002832668,0.00003433261,0.00005989404,0.01433991,0.00004281152,0.0015406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03567681,"threshold_uncertainty_score":0.2588546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195944552839763,"score_gpt":0.3009482781809629,"score_spread":0.2789888326525653,"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."}}