{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003648576,0.0001485392,0.0002320207,0.0005789831,0.0004701499,0.0004784682,0.0003473041,0.0004200736,0.003465073],"category_scores_gemma":[0.002743611,0.0002243569,0.0005766492,0.0009998502,0.0002348419,0.0004161915,0.0004324177,0.0006319248,0.0002483726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716175,"about_ca_system_score_gemma":0.0003874165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212594,"about_ca_topic_score_gemma":0.0199649,"domain_scores_codex":[0.9996712,0.0001023911,0.0000353547,0.00006250641,0.00004699836,0.00008152271],"domain_scores_gemma":[0.9977412,0.0007309581,0.000667773,0.0001959187,0.0001844046,0.0004798529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000853526,0.00002072866,0.9990939,0.000003412974,0.00007031937,0.00002936546,0.00001958649,0.00002801299,0.00004865026,0.00002072732,0.00006581024,0.0005140454],"study_design_scores_gemma":[0.000002281084,0.00002764974,0.9995028,0.000001921881,0.0000264378,0.00005741445,0.00008948408,0.0001637667,0.00001133162,0.0000217517,0.00009362445,0.000001503994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979846,0.0003122351,0.00006699307,0.0001280296,0.0000189544,0.000002140218,0.000515686,0.000003134629,0.0009681371],"genre_scores_gemma":[0.9994118,0.00006625727,0.00002729802,0.00001158314,0.00001494373,0.000002078248,0.000237648,0.00000134152,0.0002271218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212594,"threshold_uncertainty_score":0.02411073,"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."}}