{"id":"W2930942278","doi":"10.1002/cncr.32128","title":"Multiple myeloma epidemiology and patient geographic distribution in Canada: A population study","year":2019,"lang":"en","type":"article","venue":"Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; Canadian Dermatology Foundation","keywords":"Incidence (geometry); Demography; Medicine; Metropolitan area; Epidemiology; Population; Distribution (mathematics); Cancer registry; Latitude; Geography; Environmental health; Internal medicine; Pathology","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":[0.00009688288,0.00008069141,0.0002341013,0.00004953969,0.0000266513,0.000002117112,0.00002055041,0.00002976741,0.00007443043],"category_scores_gemma":[0.0001653638,0.00006351215,0.00001833849,0.0001178501,0.00001317553,0.00003133842,0.00002393771,0.00009706995,0.000004104181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364631,"about_ca_system_score_gemma":0.0002115397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.930403,"about_ca_topic_score_gemma":0.9184769,"domain_scores_codex":[0.9991365,0.00008751525,0.0001859736,0.0002193518,0.0001255535,0.0002450918],"domain_scores_gemma":[0.9995469,0.0001163808,0.00004463033,0.0001370041,0.00003555498,0.0001194754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002017135,0.00008322606,0.9587816,0.00001972208,0.00003688135,0.00002813287,0.00005055287,0.00002993982,0.00002771511,0.000007578407,0.00006594742,0.04066698],"study_design_scores_gemma":[0.002557665,0.0002453161,0.9946016,0.0000365322,0.00001291412,0.000003651526,0.0002065556,0.001915438,0.00001880707,0.00001366808,0.0003336252,0.00005419597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997584,0.0009312591,0.000002644776,0.0003432243,0.0000963768,0.0009495912,0.00006103348,0.000007457641,0.00002435966],"genre_scores_gemma":[0.9994506,0.00007182937,0.00001497498,0.0001183847,0.00001589205,0.0001396422,0.0001570812,0.000006152444,0.00002540324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04061278,"threshold_uncertainty_score":0.2589951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706630497839541,"score_gpt":0.3144013134255406,"score_spread":0.2873350084471452,"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."}}