{"id":"W2948249880","doi":"10.2337/db19-1506-p","title":"1506-P: Breast Cancer as a Risk Factor for New Diabetes","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Medicine; Breast cancer; Hazard ratio; Cohort; Diabetes mellitus; Population; Cancer; Risk factor; Internal medicine; Cohort study; Proportional hazards model; Type 2 diabetes; Oncology; Gynecology; Confidence interval; Endocrinology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006244974,0.0001464232,0.0002677658,0.0007633537,0.0003270111,0.0006874059,0.0004021207,0.0004376195,0.01020097],"category_scores_gemma":[0.002561803,0.0001536057,0.000753093,0.0019979,0.0001628965,0.0002773119,0.0005552277,0.0005353089,0.00112029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504385,"about_ca_system_score_gemma":0.0007297373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02526937,"about_ca_topic_score_gemma":0.02142531,"domain_scores_codex":[0.9993019,0.0001477854,0.00008645564,0.0001658884,0.0001827116,0.0001152374],"domain_scores_gemma":[0.9987213,0.0002754724,0.0004784681,0.00009427914,0.0002055055,0.0002249039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000255599,0.00003251073,0.9813622,0.0001636234,0.0001429014,0.0001501212,0.00004252713,0.0001375316,0.000150589,0.0001968778,0.009151776,0.008213627],"study_design_scores_gemma":[0.00002245405,0.00003762002,0.992092,0.00006246599,0.00008218975,0.0003753958,0.00006017186,0.0002926523,0.0000691297,0.00009892773,0.006801545,0.000005486147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550326,0.01785033,0.002054675,0.002875731,0.0008414053,0.0001542064,0.09265764,0.0001010315,0.02843224],"genre_scores_gemma":[0.9736418,0.002630175,0.0007829726,0.0004214364,0.0002133299,0.00007552114,0.01661687,0.00001947714,0.005598527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02526937,"threshold_uncertainty_score":0.05024457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00639910058493614,"score_gpt":0.2418389719194312,"score_spread":0.235439871334495,"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."}}