{"id":"W3006641253","doi":"10.1101/2020.02.11.941351","title":"A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"FP7 Health; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Instituto de Salud Carlos III; Stand Up To Cancer; National Cancer Institute; Associazione Angela Serra per la Ricerca sul Cancro; National Institutes of Health; University of Cambridge; Ministerio de Ciencia, Innovación y Universidades; Department for Employment and Learning, Northern Ireland","keywords":"Genome-wide association study; Computational biology; In silico; Biology; Genetic association; Prioritization; Spatial analysis; Genetic variants; Genetics; Single-nucleotide polymorphism; Mathematics; Statistics; Gene; Genotype","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":[0.0021153,0.0005300178,0.0007221496,0.001810581,0.0004608371,0.001475224,0.0005190406,0.0005590938,0.00414113],"category_scores_gemma":[0.004374496,0.0003497574,0.001172645,0.002073066,0.0004364178,0.0005595437,0.001432136,0.0006428383,0.0005217032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188825,"about_ca_system_score_gemma":0.0005242654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005304724,"about_ca_topic_score_gemma":0.005835138,"domain_scores_codex":[0.9989898,0.0003545267,0.00006738982,0.0002762102,0.0001891099,0.0001229571],"domain_scores_gemma":[0.9972298,0.001160937,0.0004620506,0.000563189,0.0003602801,0.0002237077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001723497,0.000177031,0.7583473,0.0004789557,0.001984644,0.001121903,0.0003854489,0.02489907,0.1401479,0.003349297,0.001878518,0.06550638],"study_design_scores_gemma":[0.00006609294,0.0004058193,0.8921975,0.00005261355,0.001057195,0.0008755542,0.0002167251,0.07970587,0.01669212,0.004438553,0.00420441,0.0000873895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582136,0.0007572559,0.03412938,0.0003175375,0.00004083346,0.00002869929,0.003172537,0.0007254199,0.002614757],"genre_scores_gemma":[0.986838,0.0001275814,0.01145135,0.00005980259,0.00002095954,0.00001267513,0.001043787,0.00005951028,0.0003863159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005304724,"threshold_uncertainty_score":0.01385343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881936853029498,"score_gpt":0.2783396842296731,"score_spread":0.2595203156993781,"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."}}