{"id":"W840047860","doi":"10.3747/co.v18i6.973","title":"Earlier Age of Onset in BRCA Carriers—Anticipation or Cohort Effect?","year":2011,"lang":"en","type":"article","venue":"Current Oncology","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Anticipation (artificial intelligence); Cohort; Breast cancer; Oncology; Age of onset; BRCA mutation; Internal medicine; Cancer; Genetics; Cancer research; Disease; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002398018,0.0003057742,0.0007008534,0.0007761324,0.0004189827,0.000791217,0.0006578872,0.001068464,0.003516509],"category_scores_gemma":[0.008069099,0.0003720477,0.0008800434,0.001033784,0.0004013509,0.0009745173,0.0004700329,0.001059437,0.0003756651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500646,"about_ca_system_score_gemma":0.0004633242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004892251,"about_ca_topic_score_gemma":0.004131317,"domain_scores_codex":[0.9993463,0.0001214903,0.00005075522,0.0002657817,0.00008246253,0.00013325],"domain_scores_gemma":[0.9940609,0.001721758,0.002165539,0.0009049787,0.0003762043,0.000770573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001087901,0.00004906553,0.9844008,0.00004369347,0.0002686738,0.0005399688,0.0001733744,0.00007586384,0.00143074,0.0002400919,0.0005848364,0.01110503],"study_design_scores_gemma":[0.00002294195,0.000295346,0.9969407,0.00002706963,0.000289086,0.0007907227,0.0001418636,0.0001416603,0.0002001694,0.0003478845,0.0007883587,0.00001411323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831129,0.0103422,0.00102224,0.001946488,0.0002835,0.00001860793,0.0006541318,0.00005688474,0.002563095],"genre_scores_gemma":[0.9958198,0.002425715,0.0002625723,0.0003402088,0.0002060686,0.000006152266,0.0003228973,0.00001534427,0.0006011354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004892251,"threshold_uncertainty_score":0.01268208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07942321944374904,"score_gpt":0.3907250549378707,"score_spread":0.3113018354941217,"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."}}