{"id":"W2009846614","doi":"10.1158/1055-9965.epi-05-0466","title":"Levels of C-Peptide and Mammographic Breast Density","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; The Quebec Population Health Research Network; Hôpital Charles-Le Moyne; McGill University; Jewish General Hospital; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Breast cancer; Body mass index; Mammography; Medicine; MAMMOGRAPHIC DENSITY; C-peptide; Internal medicine; Endocrinology; Waist; Correlation; Waist–hip ratio; Insulin; Oncology; Cancer; Mathematics","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":[0.0009525162,0.0001591236,0.0005407392,0.0001556983,0.00005409105,0.000002032969,0.00005441188,0.00018588,0.000299528],"category_scores_gemma":[0.0001055763,0.0001386795,0.0002013697,0.0001661293,0.0003402273,0.00008986887,0.0000386825,0.0001416715,0.000004863504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025768,"about_ca_system_score_gemma":0.0000894082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006674887,"about_ca_topic_score_gemma":0.0008153214,"domain_scores_codex":[0.9985791,0.000200146,0.0005114449,0.0003510454,0.00008041249,0.000277895],"domain_scores_gemma":[0.9990713,0.0001643302,0.0002874235,0.0002387022,0.00008409481,0.0001541519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000359463,0.0000537857,0.8278803,0.00008441342,0.0003381499,0.000001629161,0.0000421333,0.000003899232,0.003527833,0.0002058832,0.003274823,0.1642277],"study_design_scores_gemma":[0.001045425,0.0001207772,0.9914986,0.0002425537,0.0002476561,0.00009427498,0.00003196348,0.0001553948,0.00066866,0.001371802,0.004400629,0.0001222675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822236,0.009980921,0.001414983,0.005483858,0.0002284949,0.0003403675,0.00004876249,0.0000404444,0.000238552],"genre_scores_gemma":[0.9945205,0.001806223,0.002400011,0.0005364575,0.0001969575,0.00002892485,0.00002310092,0.0000148357,0.0004730073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641055,"threshold_uncertainty_score":0.5655186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05783759176309514,"score_gpt":0.3695481655373495,"score_spread":0.3117105737742544,"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."}}