{"id":"W2760676495","doi":"10.1101/195537","title":"Universal Panel Testing of Pancreatic Cancer Cases for Cancer Predisposition","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; Government of Canada; Génome Québec; Medical Research Council; Huntsman Cancer Foundation; Canadian Institutes of Health Research; Genome Canada","keywords":"Pancreatic cancer; Medicine; Cancer; Internal medicine; Colorectal cancer; Oncology; Genetic testing; Family history; Breast cancer; Ovarian cancer; Genetic predisposition; Bioinformatics; Biology; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006657053,0.0007570996,0.001644873,0.001867248,0.0005098556,0.001028974,0.0009444702,0.0007442803,0.00220965],"category_scores_gemma":[0.01431138,0.0004552066,0.004080635,0.002494068,0.0004982482,0.0007048526,0.0008074624,0.0008033293,0.0001657247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004575889,"about_ca_system_score_gemma":0.0004863224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418087,"about_ca_topic_score_gemma":0.00361404,"domain_scores_codex":[0.9921516,0.004246087,0.0005943736,0.002050078,0.0007202738,0.0002376693],"domain_scores_gemma":[0.985451,0.01069548,0.0018148,0.001148744,0.0006057384,0.0002844036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006154178,0.00007047645,0.8376043,0.0035129,0.06965067,0.0007213224,0.0001127827,0.003724183,0.003391891,0.0003025537,0.002606681,0.07214803],"study_design_scores_gemma":[0.0009595656,0.001623891,0.8059171,0.001712769,0.1571137,0.004005768,0.0002020192,0.01233039,0.005098356,0.00267988,0.008264923,0.00009167785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807018,0.1640034,0.01417109,0.00122733,0.0004542643,0.0002063868,0.007511122,0.0003419024,0.005066605],"genre_scores_gemma":[0.993625,0.003219173,0.001420428,0.0002579332,0.00008369314,0.00003622636,0.001200053,0.00001734803,0.0001400298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006657053,"threshold_uncertainty_score":0.03520626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979049182034964,"score_gpt":0.2577681622229825,"score_spread":0.2279776704026328,"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."}}