{"id":"W2968311158","doi":"10.1186/s13058-019-1179-z","title":"Investigating the feasibility of stratified breast cancer screening using a masking risk predictor","year":2019,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario Institute for Cancer Research","keywords":"Medicine; Breast cancer; Mammography; Confidence interval; Masking (illustration); Cancer; Risk stratification; Population; Receiver operating characteristic; Internal medicine; Oncology; Radiology; Nuclear medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002068516,0.0002502391,0.0004552221,0.0003364524,0.0003411893,0.0001469913,0.00039314,0.0001011565,0.0005027285],"category_scores_gemma":[0.0001155238,0.0001762265,0.0002336574,0.001689207,0.0007352051,0.0004450378,0.0002222939,0.001060682,0.000005568341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027898,"about_ca_system_score_gemma":0.001021177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141294,"about_ca_topic_score_gemma":0.00021589,"domain_scores_codex":[0.9961941,0.000343868,0.00050571,0.0006063099,0.00150544,0.0008445751],"domain_scores_gemma":[0.9975787,0.0003055252,0.0002451279,0.0007321453,0.0008184437,0.000320053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004824565,0.000109899,0.9331129,0.0003901579,0.0002228332,0.000006075118,0.0004875775,0.0007355337,0.0138321,0.0001090143,0.0001100821,0.05040136],"study_design_scores_gemma":[0.001570927,0.00008703903,0.9779811,0.002252987,0.00011441,0.0004268352,0.001314671,0.01473654,0.000978034,0.0002982053,0.00004149268,0.0001977623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931427,0.0006378776,0.0001885487,0.002052757,0.0001445204,0.001164281,0.0009566643,0.00006002574,0.001652595],"genre_scores_gemma":[0.9986216,0.00005875491,0.000471687,0.00009506335,0.0004538467,0.000071051,0.00001023837,0.00005151299,0.0001662198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0502036,"threshold_uncertainty_score":0.9924356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118496388363374,"score_gpt":0.4065392272096033,"score_spread":0.2946895883732659,"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."}}