{"id":"W2075203784","doi":"10.1016/j.jgo.2014.02.003","title":"Long-term outcomes among African–American and white women with breast cancer: What is the impact of comorbidity?","year":2014,"lang":"en","type":"article","venue":"Journal of Geriatric Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; National Institute on Aging; Barbara Ann Karmanos Cancer Institute; Susan G. Komen","keywords":"Medicine; Breast cancer; Comorbidity; Cancer; African american; Demography; Proportional hazards model; Internal medicine; Gerontology; Oncology","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":[0.000684949,0.0001644379,0.0008851897,0.0001639322,0.00006175211,0.00003618134,0.0001840597,0.00006654682,0.0002072834],"category_scores_gemma":[0.00004614892,0.00008209122,0.0001434045,0.0003847727,0.0003756397,0.0003062613,0.00004875608,0.000318545,0.000001025716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971448,"about_ca_system_score_gemma":0.0005236304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128214,"about_ca_topic_score_gemma":0.0001855076,"domain_scores_codex":[0.9986036,0.0001398576,0.0004674633,0.0001371021,0.0003383213,0.0003136392],"domain_scores_gemma":[0.9979248,0.0002103083,0.001064693,0.0001999732,0.0003407679,0.00025947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144254,0.00008357973,0.9288952,0.00002086046,0.0003381904,0.00006653091,0.001550668,0.00003997438,0.00006565681,0.000001475486,0.0009029196,0.0665924],"study_design_scores_gemma":[0.001774849,0.005660372,0.9878975,0.00009489356,0.000253636,0.001718473,0.002180175,0.00002911072,0.000009487495,0.00001723053,0.0002758765,0.0000883516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931499,0.0005892894,0.00007991611,0.005546437,0.0001650875,0.0001353271,0.000008231937,0.000005066319,0.000320797],"genre_scores_gemma":[0.9968518,0.001868822,0.0001939867,0.0006373692,0.0003763623,0.000006008973,3.907002e-7,0.00001312444,0.00005216248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06650405,"threshold_uncertainty_score":0.3347583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532361369444962,"score_gpt":0.354612448937551,"score_spread":0.3292888352431013,"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."}}