{"id":"W2095392160","doi":"10.1158/1940-6207.prev-11-a4","title":"Abstract A4: C-peptide, mammographic density, and risk of invasive breast cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Breast cancer; Medicine; Mammography; Logistic regression; Internal medicine; Odds ratio; Incidence (geometry); Oncology; Cancer; Case-control study; Risk factors for breast cancer; Menarche; Nurses' Health Study; Endocrinology; Gynecology; Prospective cohort study","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":[0.0005634104,0.00008604333,0.0002096589,0.0001765243,0.000148773,0.000008321539,0.00006596559,0.00006433718,0.001636464],"category_scores_gemma":[0.00005840786,0.00007324338,0.00009508045,0.0003217556,0.0003269627,0.00006758177,0.0001074013,0.0002830275,0.000009255544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006339246,"about_ca_system_score_gemma":0.0001742325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00700925,"about_ca_topic_score_gemma":0.003127048,"domain_scores_codex":[0.9987971,0.00007869933,0.0002000934,0.0002369862,0.0004374629,0.0002496786],"domain_scores_gemma":[0.9988462,0.00008707495,0.00008238872,0.0001564826,0.0006880565,0.0001398385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005709658,0.0002732847,0.9787573,0.0004956421,0.0003256864,0.00001619188,0.0001271118,3.645227e-7,0.002045873,0.0003209738,0.007479213,0.00958742],"study_design_scores_gemma":[0.00103047,0.0001570119,0.9911578,0.0005748718,0.00007919699,0.00001262418,0.0002635862,0.00000173191,0.002660953,0.003446655,0.0005476035,0.00006744987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904413,0.005232044,0.000006427253,0.0005179232,0.00006505242,0.0004235725,0.0001153742,0.00001219676,0.003186177],"genre_scores_gemma":[0.9538372,0.04492065,0.0001280631,0.00002860812,0.0001418303,0.0001513703,0.000007768489,0.00001171649,0.000772846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0396886,"threshold_uncertainty_score":0.9996032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021320070695336,"score_gpt":0.390253505206578,"score_spread":0.2881214981370445,"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."}}