{"id":"W3119311133","doi":"10.1007/s00125-020-05338-7","title":"Association between diabetes and haematological malignancies: a population-based study","year":2021,"lang":"en","type":"article","venue":"Diabetologia","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Women's College Hospital; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Diabetes Canada","keywords":"Diabetes mellitus; Medicine; Internal medicine; Population; Proportional hazards model; Multiple myeloma; Endocrinology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000338526,0.000178484,0.0003805841,0.0000346938,0.0001083479,0.00005400519,0.0001141511,0.0002484894,0.00007269594],"category_scores_gemma":[0.0006077267,0.0001636277,0.00007972649,0.000144341,0.00002710749,0.000006833381,0.00008906879,0.000103726,0.00000767025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743844,"about_ca_system_score_gemma":0.00006624938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005847058,"about_ca_topic_score_gemma":0.00003427944,"domain_scores_codex":[0.9984754,0.0002472891,0.0002662165,0.0004655844,0.0001873311,0.0003582179],"domain_scores_gemma":[0.9992445,0.0001003032,0.0001355138,0.0002888884,0.0001429511,0.00008786705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003673164,0.00009735123,0.9901515,0.00002200514,0.0001370444,0.000003705155,0.00001943599,0.00000617683,0.00199329,0.00002681856,0.0008019116,0.006737119],"study_design_scores_gemma":[0.0007923465,0.0001766452,0.9562315,0.00001279895,0.0001474218,3.581164e-7,0.0001110338,0.00002334573,0.02951427,0.0002142084,0.01249688,0.0002791628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676364,0.03171284,0.00005818069,0.00007538097,0.0001614162,0.0001945915,0.00004507796,0.00003102528,0.00008509906],"genre_scores_gemma":[0.9978546,0.0004355573,0.0002342219,0.0006049852,0.0001753273,0.00007716563,0.0004406818,0.00001622034,0.0001612448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03391994,"threshold_uncertainty_score":0.6672543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197863885361608,"score_gpt":0.2518955937372397,"score_spread":0.2399169548836237,"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."}}