{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946529,0.0003547619,0.0002478207,0.00264427,0.001834943,0.0009801264,0.001225771,0.0003247407,0.001742603],"category_scores_gemma":[0.001315487,0.0002475969,0.0004008055,0.004115683,0.0004954101,0.0002391566,0.0006500661,0.0004404081,0.0001669927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02345216,"about_ca_system_score_gemma":0.0271606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904992,"about_ca_topic_score_gemma":0.9941239,"domain_scores_codex":[0.9992575,0.00003399322,0.0000427222,0.00009285012,0.0003999145,0.0001729835],"domain_scores_gemma":[0.9983392,0.00005405255,0.0003441899,0.00004188221,0.0008746089,0.0003461325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000316494,0.00001399073,0.9946479,0.00002731554,0.00003882953,0.00007150105,0.0001954112,0.000163135,0.0001478042,0.0001192947,0.001335857,0.003207284],"study_design_scores_gemma":[0.000004362497,0.00001556015,0.9974927,0.00002601229,0.00002563195,0.0001856006,0.0005692624,0.0003421376,0.00007777694,0.0000212021,0.001230473,0.000009368291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816924,0.001335821,0.0001535592,0.0004902695,0.00001769742,0.00006512371,0.01078015,0.00003896562,0.00542607],"genre_scores_gemma":[0.9954261,0.0009253836,0.0002501732,0.00006108977,0.000008399583,0.00001302772,0.002697274,0.000005281756,0.0006132969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345216,"threshold_uncertainty_score":0.1701581,"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."}}