{"id":"W2883022536","doi":"10.1373/jalm.2018.026500","title":"Incidence of Myelodysplastic Syndromes in a Major Canadian Metropolitan Area","year":2018,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Myelodysplastic syndromes; Incidence (geometry); Epidemiology; Medicine; Demography; Metropolitan area; Census; Myeloid leukemia; Pediatrics; Bone marrow; Environmental health; Population; Pathology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003053549,0.0001935835,0.000749622,0.00104195,0.00007991872,0.000004324214,0.0004792093,0.0001143807,0.0006450245],"category_scores_gemma":[0.001084104,0.0001111968,0.0000400599,0.001694672,0.001210696,0.00007660635,0.00004985997,0.0007870807,0.00003082739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337786,"about_ca_system_score_gemma":0.003038037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008881213,"about_ca_topic_score_gemma":0.01559676,"domain_scores_codex":[0.9975539,0.0001200505,0.0008534343,0.0001374775,0.0008714973,0.0004635687],"domain_scores_gemma":[0.9970931,0.0005114862,0.0004190593,0.0004433119,0.0009710463,0.0005620269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01697734,0.0005197311,0.04169099,0.001140971,0.001814039,0.004257231,0.02360361,0.00005758467,0.7672276,0.01819694,0.1203112,0.00420269],"study_design_scores_gemma":[0.06624304,0.02979514,0.4735792,0.01171201,0.004947522,0.009165868,0.1281267,0.001793951,0.2040108,0.009364125,0.05931118,0.001950501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853469,0.0008889096,0.00006818587,0.004160556,0.0001895267,0.0003346748,0.00001195872,0.00000772755,0.008991558],"genre_scores_gemma":[0.9976078,0.0001781455,0.00036572,0.00116003,0.000579902,0.000003806555,0.000001887182,0.00002924538,0.00007345396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5632169,"threshold_uncertainty_score":0.9977188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817514642854098,"score_gpt":0.2909078284430866,"score_spread":0.2727326820145456,"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."}}