{"id":"W2779754688","doi":"10.21037/cco.2017.12.06","title":"Risk factors, biomarker and imaging techniques used for pancreatic cancer screening","year":2017,"lang":"en","type":"article","venue":"Chinese Clinical Oncology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Biomarker; Pancreatic cancer; Asymptomatic; Disease; Cancer; Case fatality rate; Modalities; Imaging biomarker; Oncology; Intensive care medicine; Internal medicine; Pathology; Radiology; Magnetic resonance imaging; Epidemiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00220162,0.0002347388,0.001422495,0.0001022715,0.0005945725,0.0000442063,0.00024935,0.0003752971,0.0001179782],"category_scores_gemma":[0.009773149,0.0001527877,0.0002432155,0.00005473172,0.001070781,0.0001263888,0.0002291304,0.0005398128,0.000005536219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008948024,"about_ca_system_score_gemma":0.0003668881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008969925,"about_ca_topic_score_gemma":0.0002258455,"domain_scores_codex":[0.9979277,0.0002393876,0.0007176764,0.0005103462,0.0001617918,0.0004431158],"domain_scores_gemma":[0.9948406,0.003471125,0.0005234922,0.000639533,0.0001972978,0.0003279195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006372378,0.0001985985,0.8563583,0.00005504029,0.0002970555,0.00004055469,0.00007727007,3.086735e-8,0.0002738783,0.00002315662,0.001655318,0.1403836],"study_design_scores_gemma":[0.004238639,0.0009567703,0.9726953,0.0001022177,0.0006321979,0.00002808211,0.00005338598,0.004484491,0.00003926061,0.000873305,0.01573835,0.0001580099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866105,0.0006220163,0.002545458,0.00627033,0.0003078612,0.001067119,0.00004483717,0.0000904495,0.002441395],"genre_scores_gemma":[0.9796011,0.001784597,0.01615988,0.000579851,0.000652549,0.0002430347,0.0000271306,0.00003772749,0.0009141542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402255,"threshold_uncertainty_score":0.9985679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1462118945669006,"score_gpt":0.5289005938785718,"score_spread":0.3826886993116712,"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."}}