{"id":"W2496159406","doi":"10.1158/1538-7445.am2016-3124","title":"Abstract 3124: Prognostic biomarkers for pancreatic cancer","year":2016,"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; University Health Network; Ontario Institute for Cancer Research","funders":"","keywords":"Pancreatic cancer; Genome-wide association study; Single-nucleotide polymorphism; Hazard ratio; Oncology; Internal medicine; Cohort; Proportional hazards model; Genotype; Population; Cancer; Medicine; Allele; SNP; Biology; Genetics; Bioinformatics; Gene; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009234528,0.0006025743,0.0004589987,0.001082673,0.0003157537,0.0009672992,0.0005416609,0.0006120822,0.006075336],"category_scores_gemma":[0.002997174,0.0001252565,0.0005940455,0.002098054,0.0002472076,0.0003807861,0.0004290322,0.0007246828,0.001646951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005521694,"about_ca_system_score_gemma":0.0006056845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172736,"about_ca_topic_score_gemma":0.00409019,"domain_scores_codex":[0.999567,0.0001318382,0.00004194972,0.00009081946,0.000119859,0.00004854923],"domain_scores_gemma":[0.9982795,0.0003534269,0.000616598,0.0001178962,0.0003510312,0.0002816691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010467,0.00006187704,0.9675393,0.0001395953,0.0003207604,0.000218109,0.00003272417,0.0005754888,0.002977276,0.0001476339,0.004281298,0.0226593],"study_design_scores_gemma":[0.0000747492,0.0002679921,0.9890543,0.00005752872,0.0004987162,0.0007471374,0.00006970754,0.002499066,0.001482793,0.0006982698,0.004527272,0.0000224511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596272,0.011613,0.003444883,0.002773352,0.000543476,0.00006571493,0.01538099,0.000284692,0.006266667],"genre_scores_gemma":[0.987726,0.001115273,0.001711203,0.0001877093,0.0003574784,0.00002561408,0.006273077,0.00002419141,0.002579435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006075336,"threshold_uncertainty_score":0.02032399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483459861793663,"score_gpt":0.4830001377976661,"score_spread":0.3346541516182998,"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."}}