{"id":"W2074686980","doi":"10.1097/ede.0b013e3182456caa","title":"Impact of Colon Cancer Screening on Family History Phenotype","year":2012,"lang":"en","type":"article","venue":"Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Family history; Colorectal cancer; Medicine; Cancer; Risk factor; Oncology; Incidence (geometry); Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007735201,0.0001180754,0.0004828264,0.0001119302,0.00002640857,3.085891e-7,0.00004329442,0.0001471393,0.0003443107],"category_scores_gemma":[0.000810253,0.00009227944,0.0001841139,0.00009287553,0.00008876716,0.00003935753,0.00001899475,0.000244215,0.00002367311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005791795,"about_ca_system_score_gemma":0.0001142849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003740578,"about_ca_topic_score_gemma":0.00002399493,"domain_scores_codex":[0.9989285,0.000204574,0.0002799901,0.0001676757,0.00007565345,0.0003435935],"domain_scores_gemma":[0.99881,0.0005963722,0.0001814908,0.0001951507,0.00005954574,0.0001574713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01013256,0.0001649196,0.7854509,0.00004367463,0.0002608291,0.000002473394,0.0003584886,0.0005951148,0.01344592,0.0003848497,0.05614553,0.1330148],"study_design_scores_gemma":[0.0006042853,0.003648444,0.9775442,0.00005923028,0.00006281409,0.00001282048,0.00001467172,0.0006323376,0.0002885057,0.00003722231,0.01700308,0.00009239807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800093,0.01081027,0.00174887,0.000244697,0.0007894554,0.0001380122,0.000005288787,0.00006058945,0.00619352],"genre_scores_gemma":[0.9964786,0.0001051583,0.001129377,0.001180113,0.000633531,0.00002626514,0.000007780588,0.00001567615,0.0004234636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920933,"threshold_uncertainty_score":0.565466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406646865794817,"score_gpt":0.3965155599186748,"score_spread":0.255850873339193,"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."}}