{"id":"W2025598781","doi":"10.1007/s10549-007-9654-0","title":"The impact of diabetes on survival following breast cancer","year":2007,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Cancer Care Ontario; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Breast cancer; Diabetes mellitus; Hyperinsulinemia; Hazard ratio; Comorbidity; Internal medicine; Cancer; Population; Proportional hazards model; Type 2 diabetes; Oncology; Gynecology; Confidence interval; Insulin resistance; Endocrinology","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":[0.0009605074,0.0002548922,0.0004268776,0.0005457326,0.0004651441,0.0007678765,0.0003664377,0.0008261679,0.002772583],"category_scores_gemma":[0.005379246,0.0001464796,0.0009027747,0.001223537,0.0002802671,0.0005751629,0.0006095417,0.001539766,0.0003327743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305052,"about_ca_system_score_gemma":0.0007191271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007177039,"about_ca_topic_score_gemma":0.01086191,"domain_scores_codex":[0.9993262,0.0002280958,0.00005064696,0.00005977592,0.00008577633,0.0002494738],"domain_scores_gemma":[0.9958807,0.001274999,0.001010204,0.0002292543,0.0003703358,0.001234576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002319227,0.0001525174,0.9701144,0.00004354644,0.0003241748,0.0002437586,0.00004831441,0.0003657008,0.0002435782,0.0001507428,0.0008344424,0.02515968],"study_design_scores_gemma":[0.00001387898,0.0001708542,0.9985215,0.00001404754,0.0001693735,0.0001978213,0.00008468927,0.0001622873,0.00003632252,0.0001771836,0.0004463064,0.000005781156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674123,0.01914472,0.00020556,0.004218352,0.000287541,0.000009931774,0.002003754,0.00001660003,0.006701231],"genre_scores_gemma":[0.9938604,0.004093784,0.00005741871,0.0002817152,0.00030023,0.000004151654,0.0007381598,0.000004665035,0.0006594298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007177039,"threshold_uncertainty_score":0.01427048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054989329367037,"score_gpt":0.3788622757214639,"score_spread":0.3483123824277935,"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."}}