{"id":"W3027714814","doi":"10.1158/1055-9965.epi-20-0091","title":"Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"Promises for Purple; Johns Hopkins University; National Heart, Lung, and Blood Institute; Lustgarten Foundation; National Cancer Institute; National Institutes of Health; Harbin Medical University Cancer Hospital; U.S. Department of Health and Human Services; Conquer Cancer Foundation; World Health Organization; Howard Hughes Medical Institute","keywords":"Pancreatic cancer; Pancreatic ductal adenocarcinoma; Medicine; Cancer; Biomarker; Oncology; Internal medicine; Biology; Genetics","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":[0.0007098702,0.0005320733,0.0002814018,0.001022183,0.0002451403,0.0005418941,0.0002436184,0.0003929913,0.001684559],"category_scores_gemma":[0.0023385,0.000141979,0.0004190253,0.001101655,0.0002726494,0.0001755543,0.0003510547,0.0005217969,0.0001892031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716885,"about_ca_system_score_gemma":0.0002784798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034733,"about_ca_topic_score_gemma":0.0008173504,"domain_scores_codex":[0.9995337,0.0001508386,0.00003837753,0.0001375249,0.00008669336,0.00005295053],"domain_scores_gemma":[0.9983157,0.0005540168,0.0007327459,0.000131218,0.0001124393,0.0001538481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00024333,0.00002408939,0.9954021,0.00001267077,0.0001548788,0.0001026315,0.00001600654,0.0002127408,0.002138369,0.00005186227,0.00005527285,0.001585912],"study_design_scores_gemma":[0.00001262152,0.00008499805,0.9962065,0.00000822714,0.0001675764,0.0006190198,0.00003057243,0.001027844,0.001239231,0.0002466528,0.0003508888,0.000005839878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997789,0.0004659256,0.0008359763,0.00005687458,0.000007843076,0.00000609941,0.0004790551,0.00001272142,0.0003463834],"genre_scores_gemma":[0.9988081,0.0001006154,0.0006073181,0.00001365648,0.00000672721,0.000006714955,0.0003389086,0.000005099726,0.0001128879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001684559,"threshold_uncertainty_score":0.005635381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07900733424002615,"score_gpt":0.3929390215813611,"score_spread":0.3139316873413349,"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."}}