{"id":"W2506035177","doi":"10.1158/1538-7445.am2016-2587","title":"Abstract 2587: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Newfoundland and Labrador; Memorial University of Newfoundland","funders":"","keywords":"Family history; Colorectal cancer; Medicine; Logistic regression; Internal medicine; Oncology; Epidemiology; Cancer; Risk assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003227073,0.0008733186,0.0008245112,0.001250049,0.0002792692,0.001409268,0.0005913148,0.0007455212,0.004313727],"category_scores_gemma":[0.01443501,0.0002773305,0.0007782262,0.001133787,0.0002082777,0.0006967869,0.00109318,0.001166464,0.001059697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007135012,"about_ca_system_score_gemma":0.001858151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008906381,"about_ca_topic_score_gemma":0.01067004,"domain_scores_codex":[0.9985631,0.0008811182,0.00007105915,0.00020027,0.0002179571,0.00006650099],"domain_scores_gemma":[0.9959031,0.002418121,0.000615012,0.000284511,0.0005108058,0.0002684684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001096976,0.0007488672,0.521852,0.0007655864,0.00213797,0.0003908768,0.0002569081,0.06484359,0.001678239,0.004695377,0.05975869,0.3417749],"study_design_scores_gemma":[0.0004603101,0.001154475,0.3438207,0.0009491752,0.00187187,0.0005408516,0.0002943823,0.5957769,0.002378786,0.03191636,0.02066174,0.0001745437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150216,0.008943404,0.2819743,0.02710632,0.0007108678,0.001194792,0.02806037,0.004583763,0.03240461],"genre_scores_gemma":[0.9239787,0.001408145,0.06295083,0.001121602,0.0002603371,0.0003106323,0.007666154,0.00009283551,0.002210671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008906381,"threshold_uncertainty_score":0.01770914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763691610923566,"score_gpt":0.3843076531676711,"score_spread":0.3366707370584355,"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."}}