{"id":"W6977385721","doi":"10.6084/m9.figshare.23897232.v1","title":"Additional file 4 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Breast density; Mammography; Cohort study; Hazard ratio; Table (database)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007957785,0.0001049117,0.0002863573,0.0005448105,0.00002209999,0.000009011344,0.00005408317,0.00006042749,0.3412253],"category_scores_gemma":[0.0003328585,0.0001028536,0.00007028287,0.001270998,0.00003713822,0.0001905015,0.00004390303,0.00009055427,0.000005677769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003045669,"about_ca_system_score_gemma":0.0001096835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006480567,"about_ca_topic_score_gemma":0.00002423542,"domain_scores_codex":[0.9990927,0.0000331818,0.0002546746,0.0001687144,0.000280826,0.0001699025],"domain_scores_gemma":[0.9991477,0.0002106498,0.0002285823,0.0001177593,0.0002286078,0.00006667473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002195057,0.0002465358,0.2127326,0.001913665,0.0003418687,0.00004460269,0.0006523748,0.0001020271,0.001010032,6.910938e-7,0.7553443,0.02739178],"study_design_scores_gemma":[0.0003656418,0.00005485581,0.9866726,0.005785656,0.00002707779,0.00005659207,0.0001124463,0.006360831,0.0001456833,0.000007768095,0.0003286285,0.00008221692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4154448,0.00001993856,1.023481e-7,0.000005070085,0.000004340154,0.0001176781,0.5841843,0.00003784415,0.0001859112],"genre_scores_gemma":[0.8104141,0.000004851436,0.00004737515,0.000008939672,0.00001636547,0.0001209069,0.1893489,0.00001213446,0.00002640606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.77394,"threshold_uncertainty_score":0.6593769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318881772031643,"score_gpt":0.2329298982537714,"score_spread":0.219741080533455,"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."}}