{"id":"W2508689200","doi":"10.1002/jcp.25579","title":"Risk Differences Between Prediabetes And Diabetes According To Breast Cancer Molecular Subtypes","year":2016,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Prediabetes; Medicine; Diabetes mellitus; Breast cancer; Internal medicine; Incidence (geometry); Hyperinsulinemia; Logistic regression; Type 2 diabetes; Cancer; Endocrinology; Oncology; Insulin resistance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688461,0.0002107171,0.0004756738,0.00009274721,0.00006178328,0.00002032387,0.0002826095,0.000152657,0.00004510562],"category_scores_gemma":[0.0001022498,0.0001339881,0.0001466003,0.00008060599,0.0001327972,0.00001477525,0.000131129,0.0001186559,0.000004336841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466859,"about_ca_system_score_gemma":0.00007147342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007391713,"about_ca_topic_score_gemma":0.000002473658,"domain_scores_codex":[0.9986337,0.0001901358,0.0003567505,0.0002955699,0.0001504497,0.000373404],"domain_scores_gemma":[0.9989629,0.00006771602,0.0003518526,0.0002181039,0.0001939062,0.0002054935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004452363,0.00001651522,0.1574954,0.00001535505,0.0001935835,8.995586e-7,0.00001371333,0.000005169744,0.750937,0.00001033645,0.00017071,0.09109674],"study_design_scores_gemma":[0.0007094523,0.0004239103,0.2335936,0.00008052155,0.0001627364,0.000002864167,0.00003112188,0.000002746315,0.7533647,0.0009228211,0.01044714,0.0002583043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93993,0.05885513,0.0005469521,0.0001398375,0.000323087,0.00008328068,0.0001049674,0.000004703576,0.00001204796],"genre_scores_gemma":[0.980951,0.01724719,0.0002137573,0.0001953073,0.001326435,0.00001110485,0.000004487714,0.0000250466,0.0000256416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09083844,"threshold_uncertainty_score":0.5463877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005801856765292717,"score_gpt":0.2221981580906978,"score_spread":0.2163963013254051,"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."}}