{"id":"W1968047515","doi":"10.1007/s10552-014-0357-7","title":"The association between neighborhood socioeconomic status and ovarian cancer tumor characteristics","year":2014,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute on Minority Health and Health Disparities; National Institutes of Health","keywords":"Debulking; Medicine; Ovarian cancer; Socioeconomic status; Cancer; Oncology; Logistic regression; Stage (stratigraphy); Epidemiology; Internal medicine; Confidence interval; Disease; Demography; Population; Environmental health; Biology","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":[0.0002740551,0.0002143467,0.0005081689,0.00003477144,0.0002581467,0.000118951,0.00006943349,0.00009642973,0.0001877733],"category_scores_gemma":[0.0001163608,0.0001549491,0.000093953,0.00004915582,0.00006150893,0.000079625,0.00002188074,0.0002084685,0.00003058986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180294,"about_ca_system_score_gemma":0.0003687136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000773695,"about_ca_topic_score_gemma":0.0003512381,"domain_scores_codex":[0.9985881,0.00008354246,0.0003305334,0.0003309551,0.0001799855,0.0004868689],"domain_scores_gemma":[0.9984635,0.0005758309,0.0003225586,0.000272465,0.000135864,0.000229833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009135903,0.00002913943,0.9424379,0.00002764091,0.0009100224,0.000002590918,0.0001209239,0.000001942978,0.0000620986,0.0009122942,0.001048748,0.05435527],"study_design_scores_gemma":[0.004927098,0.0001429869,0.9116457,0.00006407813,0.001141757,9.191792e-7,0.00002855911,0.0001881541,0.0001026474,0.0001746864,0.08142849,0.0001549817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963452,0.006476941,0.0001662034,0.02580716,0.001302152,0.001100685,0.0007547197,0.0000935426,0.0008466151],"genre_scores_gemma":[0.9905197,0.003581929,0.00001180347,0.003068028,0.001824468,0.0005624042,0.00002261736,0.00003809882,0.0003709747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08037974,"threshold_uncertainty_score":0.6318643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009929986771856266,"score_gpt":0.2658645687302376,"score_spread":0.2559345819583813,"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."}}