{"id":"W1999221985","doi":"10.1089/jwh.2010.2105","title":"What Influences Diagnostic Delay in Low-Income Women with Breast Cancer?","year":2011,"lang":"en","type":"article","venue":"Journal of Women s Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Logistic regression; Odds ratio; Multivariate analysis; Odds; Population; Demography; Health care; Low income; Cancer; Internal medicine; Gynecology; Obstetrics; 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":[0.0006325675,0.0001402079,0.0002095536,0.0005742575,0.000461343,0.0006715267,0.000320693,0.0004321155,0.001865949],"category_scores_gemma":[0.01164005,0.0001337869,0.0002495968,0.0008351933,0.0002934215,0.0003908379,0.0002935676,0.0006101502,0.0001690092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006183285,"about_ca_system_score_gemma":0.0008078815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083655,"about_ca_topic_score_gemma":0.009474425,"domain_scores_codex":[0.999595,0.0001086477,0.00004679434,0.00006205252,0.00007943589,0.0001080653],"domain_scores_gemma":[0.9951492,0.00153805,0.002306935,0.00009532907,0.0002474799,0.0006631041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003404544,0.00002287888,0.9986646,0.000005017777,0.000008322413,0.0000437075,0.00006453337,0.00001996809,0.00002836011,0.00001416548,0.00007579484,0.001018535],"study_design_scores_gemma":[0.000002914775,0.00003921917,0.9989937,0.00001273883,0.00001355999,0.0001552923,0.0003701727,0.0001743464,0.00003348013,0.00003730027,0.0001645346,0.000002838692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984953,0.0004122709,0.00003965007,0.0004135956,0.00001167356,0.000004552985,0.0001253404,0.000002043522,0.0004955329],"genre_scores_gemma":[0.9997056,0.0001098796,0.00004025895,0.00003255476,0.00001121375,0.000002244625,0.00006456338,8.814741e-7,0.00003273904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083655,"threshold_uncertainty_score":0.02154696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306288005155929,"score_gpt":0.3385120679982862,"score_spread":0.2954491879467269,"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."}}