{"id":"W2076918272","doi":"10.1158/1538-7445.am2014-5185","title":"Abstract 5185: Redefining the somatic landscape of pancreatic adenocarcinoma","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Somatic cell; CDKN2A; Biology; Laser capture microdissection; DNA sequencing; Deep sequencing; Computational biology; Somatic evolution in cancer; Adenocarcinoma; Pancreatic cancer; Genome; Genetics; Cancer; Gene","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":[0.0004698332,0.0002582112,0.0002967482,0.0009656528,0.0002611963,0.0006092637,0.0002172163,0.0005251219,0.003015541],"category_scores_gemma":[0.0006124527,0.0002208412,0.0002852108,0.0007432456,0.0002098727,0.0002358089,0.0003537774,0.0005258344,0.001038203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340397,"about_ca_system_score_gemma":0.0002084333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230192,"about_ca_topic_score_gemma":0.001901828,"domain_scores_codex":[0.9996672,0.00003115138,0.00002847318,0.0001033852,0.0001365635,0.00003320905],"domain_scores_gemma":[0.9996982,0.00007947403,0.0000546649,0.00005072982,0.00007740022,0.00003966873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001208815,0.00002160148,0.00616435,0.0001363067,0.00003031958,0.0001246556,0.00005137443,0.000732639,0.9727887,0.0001638661,0.0008930147,0.01877239],"study_design_scores_gemma":[0.00002641759,0.0002714069,0.1090631,0.00004511226,0.0001032521,0.001717133,0.00009098971,0.008693928,0.8587379,0.0004886126,0.02072829,0.00003378185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411302,0.003357375,0.0383977,0.0005392791,0.0001218331,0.00007870518,0.007949787,0.001356007,0.007069028],"genre_scores_gemma":[0.9239471,0.001753679,0.05216274,0.0006310432,0.00004715784,0.0000976373,0.01293992,0.0004827535,0.007937849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015541,"threshold_uncertainty_score":0.01008803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948597515164738,"score_gpt":0.3355892497301859,"score_spread":0.2961032745785385,"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."}}