{"id":"W2316437530","doi":"10.1056/jw200701170000001","title":"Mammographic Density and Breast Cancer","year":2007,"lang":"en","type":"article","venue":"Journal watch","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; MAMMOGRAPHIC DENSITY; Mammography; Breast density; Breast tissue; Cancer; Oncology; Internal medicine","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":[0.0005284013,0.0001133986,0.0001649673,0.0009077918,0.0003522174,0.0005812288,0.0003095905,0.0003347914,0.003413665],"category_scores_gemma":[0.006458883,0.0001282881,0.0002083236,0.001262677,0.0004731861,0.0002575394,0.0003527357,0.0004483453,0.0002737207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000917723,"about_ca_system_score_gemma":0.0007553693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07578702,"about_ca_topic_score_gemma":0.06654781,"domain_scores_codex":[0.9994553,0.0001732828,0.00002376247,0.00004725753,0.0002196694,0.00008078934],"domain_scores_gemma":[0.9978237,0.0006249656,0.0006701383,0.00009065017,0.0003913577,0.0003992116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001090064,0.00003594707,0.9846827,0.00004090484,0.00007232501,0.00008941676,0.0001253456,0.000122291,0.0001411667,0.0008721662,0.001131958,0.01257688],"study_design_scores_gemma":[0.000003193673,0.00002542572,0.9966125,0.000032696,0.00003244106,0.0003420031,0.0001398043,0.0001152005,0.00005195149,0.0003707105,0.002269415,0.000004620923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384091,0.02510777,0.0003934483,0.004641949,0.00009930041,0.00002532205,0.0009390911,0.00002424094,0.03035975],"genre_scores_gemma":[0.9948206,0.003054067,0.00016051,0.0001801734,0.00006205682,0.000004060483,0.0002546616,0.00000273256,0.001461191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07578702,"threshold_uncertainty_score":0.1506917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007042648745208563,"score_gpt":0.2655091595585151,"score_spread":0.2584665108133066,"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."}}