{"id":"W3081566255","doi":"10.1158/1538-7445.am2020-1200","title":"Abstract 1200: Associations between genetically predicted blood protein biomarkers and pancreatic ductal adenocarcinoma risk","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Pancreatic cancer; Genome-wide association study; Biology; Oncology; Biomarker; Disease; Cancer; Genetic association; Internal medicine; Medicine; Genetics; Gene; Bioinformatics; Genotype; Single-nucleotide polymorphism","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":[0.0006334453,0.0003733448,0.0002692835,0.000619231,0.0002562045,0.0005207791,0.0002828451,0.0004605899,0.003150528],"category_scores_gemma":[0.0027845,0.0001369269,0.0004042974,0.0006474427,0.0001788563,0.0002128675,0.0002816818,0.0005973109,0.0003312489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438143,"about_ca_system_score_gemma":0.0001493192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102583,"about_ca_topic_score_gemma":0.0005302246,"domain_scores_codex":[0.9995853,0.0001174792,0.00003947857,0.000141855,0.0000823762,0.00003357495],"domain_scores_gemma":[0.9984907,0.0006110462,0.0004210085,0.0001370035,0.0001494314,0.0001908361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001645748,0.0001149301,0.9648684,0.00005945758,0.0003795668,0.0003495472,0.00004312458,0.0004448844,0.02518709,0.0001735375,0.0007199412,0.006013829],"study_design_scores_gemma":[0.00003632074,0.0001434646,0.9920968,0.00000697509,0.0001623099,0.0007431679,0.00002642498,0.002317773,0.003669774,0.0002556276,0.0005337053,0.000007645574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966929,0.0002624233,0.001248557,0.0001053504,0.00002460632,0.000006306186,0.001190799,0.00003706411,0.0004320162],"genre_scores_gemma":[0.9970505,0.00006967294,0.001255071,0.00003424277,0.00002928034,0.00001120645,0.001020839,0.00001449236,0.0005146574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003150528,"threshold_uncertainty_score":0.01053953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09543256340267416,"score_gpt":0.3950035635257004,"score_spread":0.2995710001230262,"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."}}