{"id":"W4206539723","doi":"10.20944/preprints202201.0312.v1","title":"Potential Metabolite Markers for Pancreatic Cancer Identified by Metabolomic Analysis of Induced Cancer-Associated Fibroblasts","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; University of Oxford","keywords":"Glycolysis; Pancreatic cancer; Reprogramming; Oxidative phosphorylation; Intracellular; Metabolomics; Cancer-Associated Fibroblasts; Mesenchymal stem cell; Cell biology; Biology; Cancer cell; Tumor microenvironment; Cancer research; Chemistry; Cancer; Biochemistry; Metabolism; Bioinformatics; Cell; Genetics; Tumor cells","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":[0.0001403913,0.0003074554,0.0002615659,0.0007875447,0.0001131844,0.000398233,0.00007575493,0.0002112344,0.0009012037],"category_scores_gemma":[0.000231587,0.0001043127,0.0002494479,0.0006364611,0.00010276,0.0001315478,0.0001852353,0.0002786089,0.0002238055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321115,"about_ca_system_score_gemma":0.0001513057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004226563,"about_ca_topic_score_gemma":0.0004633684,"domain_scores_codex":[0.9999042,0.00001332551,0.000006960787,0.00003227389,0.00002921782,0.00001410059],"domain_scores_gemma":[0.9999068,0.00001821686,0.00003165487,0.000008631491,0.00002043699,0.00001432532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002333857,0.00001560705,0.004425699,0.00007792959,0.00002217469,0.0000939434,0.000022385,0.0001127667,0.9892188,0.00005441379,0.00006382698,0.005659103],"study_design_scores_gemma":[0.00002104351,0.000267386,0.09389957,0.00002339586,0.0001803152,0.0007716997,0.0001086571,0.002180818,0.8977587,0.0004097966,0.004355958,0.00002258242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970462,0.004947934,0.01540851,0.0001570664,0.00006486259,0.00006676065,0.006990351,0.0002198521,0.001682701],"genre_scores_gemma":[0.9710476,0.003144535,0.01907001,0.0001386675,0.00003233071,0.00009463917,0.004502077,0.00007595628,0.001894261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009012037,"threshold_uncertainty_score":0.003014803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05140090269199454,"score_gpt":0.3545946584981137,"score_spread":0.3031937558061192,"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."}}