{"id":"W2332184346","doi":"10.1158/1538-7445.am2011-5105","title":"Abstract 5105: Towards a multiparametric biomarker panel for pancreatic cancer detection","year":2011,"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":"Mount Sinai Hospital; University Health Network; University of Toronto","funders":"","keywords":"Pancreatic cancer; Cancer; Biomarker; Proteome; Proteomics; Biomarker discovery; Cancer research; Medicine; Biology; Computational biology; Pathology; Oncology; Internal medicine; Bioinformatics; Biochemistry","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":[0.001604373,0.0008630781,0.0007295349,0.001601284,0.0002620046,0.00108668,0.0005384478,0.0009448824,0.001951854],"category_scores_gemma":[0.001066417,0.0003585219,0.0004203588,0.000929288,0.0002213807,0.0005526008,0.0007978556,0.0007006159,0.001704117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127151,"about_ca_system_score_gemma":0.0003891687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002954561,"about_ca_topic_score_gemma":0.0004808112,"domain_scores_codex":[0.998809,0.0002752106,0.0001050199,0.0002899309,0.0004404762,0.00008043622],"domain_scores_gemma":[0.9994894,0.0001114772,0.00008859621,0.00004003437,0.0001891915,0.00008115815],"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":[0.0003392695,0.0001151274,0.01029089,0.0001869652,0.00005742117,0.0001019816,0.00002522382,0.0005710016,0.9617081,0.000145915,0.001099109,0.02535888],"study_design_scores_gemma":[0.00006826199,0.001603189,0.07694228,0.0001055752,0.0002806672,0.002211509,0.00009821883,0.02027496,0.8790027,0.0008622355,0.01846487,0.00008558527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7796167,0.009690994,0.1876066,0.001774206,0.0002553197,0.0009301022,0.01072006,0.002853498,0.006552498],"genre_scores_gemma":[0.7320816,0.001974509,0.2458593,0.001102321,0.0001175878,0.0005605074,0.01353609,0.0001140957,0.004654089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001951854,"threshold_uncertainty_score":0.00848484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4043216270569312,"score_gpt":0.4921914597424319,"score_spread":0.08786983268550069,"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."}}