{"id":"W2556574152","doi":"10.1182/blood.v114.22.245.245","title":"The Population Based Incidence of Myelodysplastic Syndrome (MDS): Utility of Multiple Data Sources and Follow-up.","year":2009,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Shared Health; CancerCare Manitoba","funders":"","keywords":"Incidence (geometry); Chronic myelomonocytic leukemia; Medicine; Cancer registry; Myelodysplastic syndromes; Population; Internal medicine; Bone marrow; Epidemiology; Diagnosis code; Pediatrics","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":[0.004975096,0.0002801738,0.0003784068,0.003296952,0.0004185409,0.001249102,0.000881043,0.0003747958,0.0005832329],"category_scores_gemma":[0.01311045,0.0003595409,0.0005470912,0.004986538,0.0003193479,0.0007929814,0.001100625,0.0006357906,0.0001723502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532961,"about_ca_system_score_gemma":0.001512605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.121652,"about_ca_topic_score_gemma":0.1556299,"domain_scores_codex":[0.9976745,0.00104651,0.0003013104,0.0002735102,0.0005589463,0.0001452648],"domain_scores_gemma":[0.991,0.002426341,0.003523657,0.0007812008,0.001852609,0.0004161438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002392935,0.000006960292,0.9989076,0.000005452972,0.00003421398,0.00001431974,0.00003579997,0.00004879632,0.00001445085,0.000008807692,0.00004442155,0.0008551575],"study_design_scores_gemma":[0.00000350025,0.00003701244,0.9984463,0.00001599263,0.00004600363,0.00008640699,0.0002545132,0.0008880093,0.00004599972,0.00001816801,0.0001534853,0.000004654389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992634,0.0007817404,0.0005045354,0.0001377296,0.00001109788,0.00007632279,0.004617744,0.000023209,0.00121365],"genre_scores_gemma":[0.9967439,0.0002761786,0.0007554276,0.00001946517,0.000008349573,0.00004305797,0.00203966,0.000003553414,0.0001104473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.121652,"threshold_uncertainty_score":0.2418877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021992390435017,"score_gpt":0.2926817103978841,"score_spread":0.2624617864935339,"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."}}