{"id":"W2293153297","doi":"10.1155/2016/7284303","title":"The Influences of Health Insurance and Access to Information on Prostate Cancer Screening among Men in Dominican Republic","year":2016,"lang":"en","type":"article","venue":"Journal of Cancer Epidemiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Division of Graduate Education","keywords":"Prostate cancer screening; Prostate cancer; Logistic regression; Medicine; Population; Propensity score matching; Demography; Cancer; Gerontology; Environmental health; Prostate-specific antigen; Internal medicine","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":[0.002582165,0.0001124917,0.000674773,0.0001838959,0.00005885802,0.00001093506,0.0001350732,0.00004798381,0.000008242708],"category_scores_gemma":[0.001072949,0.00005239224,0.00005891126,0.0001773681,0.0001685388,0.0004708719,0.00004340837,0.0001540587,2.623416e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071204,"about_ca_system_score_gemma":0.0003775675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347314,"about_ca_topic_score_gemma":0.001208164,"domain_scores_codex":[0.9978886,0.0002765103,0.001275237,0.0001224389,0.0001550014,0.0002821677],"domain_scores_gemma":[0.9967729,0.001187715,0.001536489,0.0001461365,0.0001972635,0.0001595137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005968648,0.00001377521,0.6181388,0.00003259979,0.00006490009,0.000001218911,0.0002255054,0.0001935878,0.00001243666,0.00005298212,0.001565967,0.3791013],"study_design_scores_gemma":[0.002012559,0.0008612411,0.9830112,0.001803501,0.0000142183,0.000005468068,0.00007308389,0.00001182201,0.000272487,0.0002945019,0.01158771,0.00005219613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901869,0.008640901,0.0000399594,0.1004641,0.0001842222,0.0004124911,0.00002986545,0.000003183545,0.00003835209],"genre_scores_gemma":[0.9487253,0.04685901,0.0001713878,0.004010144,0.00007858955,0.0001286736,7.557878e-7,0.000005835238,0.00002031913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790491,"threshold_uncertainty_score":0.506016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07022400757561027,"score_gpt":0.4268860118839447,"score_spread":0.3566620043083344,"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."}}