{"id":"W2303235479","doi":"10.1158/1538-7755.disp13-b85","title":"Abstract B85: Racial differences in false-positive mammogram rates: Results from the ACRIN Digital Mammographic Imaging Screening Trial (DMIST)","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Logistic regression; False positive paradox; Cancer; Obstetrics; Gynecology; Demography; Internal medicine; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003359353,0.0003340498,0.000690053,0.000238542,0.0002952399,0.0006399454,0.0003904021,0.000713507,0.003162768],"category_scores_gemma":[0.009286702,0.0001680923,0.0009301645,0.0004073869,0.0003140994,0.0004011977,0.0002799677,0.0008148953,0.0002673084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089663,"about_ca_system_score_gemma":0.00049086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596127,"about_ca_topic_score_gemma":0.003894421,"domain_scores_codex":[0.9983454,0.0009884581,0.0001340344,0.0002103196,0.0002089282,0.0001128194],"domain_scores_gemma":[0.9942828,0.002215834,0.002225433,0.0004696058,0.0004150251,0.0003911597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2981859,0.001211595,0.6403835,0.001443706,0.00848678,0.0001536173,0.0001910233,0.0006435164,0.001444411,0.0004376865,0.01122385,0.03619457],"study_design_scores_gemma":[0.01971166,0.004899459,0.9646409,0.0001967327,0.006295985,0.0002125382,0.00009079382,0.001075286,0.0004325719,0.0003762632,0.002039799,0.00002793026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862192,0.005363046,0.0002493644,0.000978109,0.0001360449,0.0001596909,0.003641767,0.00002153304,0.003231343],"genre_scores_gemma":[0.996963,0.0003959545,0.0001535805,0.0004322942,0.0001476776,0.00007800037,0.00137343,0.000005756097,0.0004501354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596127,"threshold_uncertainty_score":0.01776612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135216614249035,"score_gpt":0.3933487702226739,"score_spread":0.2798271087977703,"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."}}