{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337872,0.0001520907,0.0006134069,0.0002508215,0.00005950026,0.00003522691,0.0001741394,0.00005300419,0.0003120599],"category_scores_gemma":[0.00008091681,0.000102993,0.00003813438,0.0004388483,0.00007369959,0.0008378865,0.00002333294,0.0004151409,0.000007415975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684982,"about_ca_system_score_gemma":0.001830775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599632,"about_ca_topic_score_gemma":0.0005502642,"domain_scores_codex":[0.9978033,0.00007772591,0.0006810421,0.0001516905,0.0005484043,0.0007378373],"domain_scores_gemma":[0.9981805,0.0000971831,0.0005612611,0.0001550751,0.0002395691,0.0007663901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002979862,0.0001662255,0.9433079,0.0002699492,0.00009163245,0.0009427418,0.03054591,0.0001004023,0.00001336989,0.00002292359,0.0001212022,0.02143784],"study_design_scores_gemma":[0.001951391,0.003211512,0.9704412,0.004543571,0.00001347029,0.001908348,0.01727912,0.000008545846,0.00001586949,0.0001912791,0.000316613,0.0001190745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946702,0.002540946,0.00001775406,0.002195563,0.0002791972,0.0001778311,0.000004388397,0.000009162372,0.0001050339],"genre_scores_gemma":[0.9909894,0.004652956,0.0003238933,0.003737854,0.000226305,0.00002722145,2.717317e-7,0.00001463934,0.00002741033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02713327,"threshold_uncertainty_score":0.7021135,"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."}}