{"id":"W4281695779","doi":"10.1016/j.pan.2022.05.003","title":"Genetic testing to guide screening for pancreatic ductal adenocarcinoma: Results of a microsimulation model","year":2022,"lang":"en","type":"article","venue":"Pancreatology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; American Cancer Society","keywords":"Medicine; Genetic testing; Penetrance; CDKN2A; Pancreatic ductal adenocarcinoma; Oncology; STK11; Internal medicine; Pancreatic cancer; Cancer; Genetics; Biology; Gene; KRAS","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":[0.001514075,0.0006792889,0.0005421472,0.0002871127,0.0002322152,0.0007229201,0.0007221145,0.0003339715,0.002862144],"category_scores_gemma":[0.002962564,0.0001337177,0.0006350931,0.0002088654,0.0004269378,0.0004822249,0.0003940972,0.0007354148,0.0002893045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007788824,"about_ca_system_score_gemma":0.001154629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266267,"about_ca_topic_score_gemma":0.002342338,"domain_scores_codex":[0.9995131,0.0002575432,0.0000150229,0.0001005865,0.00006774281,0.0000458904],"domain_scores_gemma":[0.9981844,0.001413514,0.0001236482,0.00011962,0.00008042802,0.00007833403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01923933,0.005180048,0.08835923,0.0002925124,0.001161801,0.001131486,0.00036904,0.4726796,0.1266212,0.05443689,0.003446267,0.2270826],"study_design_scores_gemma":[0.0005721999,0.005702768,0.01032892,0.00003603081,0.0006711932,0.0005036113,0.00009634257,0.9337363,0.03339049,0.01210203,0.002809979,0.00005008331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927569,0.0002654716,0.06731369,0.0009743396,0.00006003868,0.00009803061,0.0005229635,0.000184962,0.003011517],"genre_scores_gemma":[0.9687358,0.0002553815,0.02698343,0.0002371266,0.00002297224,0.0001279229,0.0003583978,0.00005900903,0.003220049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266267,"threshold_uncertainty_score":0.00957489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0892100570801134,"score_gpt":0.3671092989907712,"score_spread":0.2778992419106577,"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."}}