{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004874469,0.0004045648,0.0005435023,0.002022614,0.002873281,0.001322474,0.001147558,0.0004852474,0.001814714],"category_scores_gemma":[0.00156706,0.0003819087,0.0007594755,0.009427411,0.0005848648,0.000477981,0.001038792,0.0008123263,0.0002637201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02712199,"about_ca_system_score_gemma":0.03505205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912919,"about_ca_topic_score_gemma":0.9922442,"domain_scores_codex":[0.9990067,0.00004344209,0.00007880379,0.0002187732,0.0003766344,0.0002756565],"domain_scores_gemma":[0.9983519,0.00005128694,0.0003404564,0.0000538057,0.0008095682,0.000393025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000341541,0.00001905809,0.9943911,0.00004743781,0.00007315625,0.0000844642,0.000367181,0.00008810664,0.00009029655,0.00005824865,0.001969016,0.002777725],"study_design_scores_gemma":[0.000007213605,0.00001605389,0.9973569,0.00004404833,0.00004055175,0.0001356309,0.0007425801,0.0002069871,0.00002923746,0.0000249633,0.001384419,0.00001134784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671127,0.002212066,0.0002575838,0.0007463331,0.00002298235,0.0001375306,0.02635948,0.00004624454,0.003105058],"genre_scores_gemma":[0.9922653,0.001169563,0.0002526406,0.0002056908,0.00001054864,0.00004579949,0.005518894,0.000009551347,0.0005219891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02712199,"threshold_uncertainty_score":0.1967847,"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."}}