{"id":"W4399691321","doi":"10.5430/jst.v14n1p1","title":"An investigation for phylogenetic characterization of human pancreatic cancer microbiome by 16S rDNA sequencing and bioinformatics techniques","year":2024,"lang":"en","type":"article","venue":"Journal of Solid Tumors","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Microbiome; Pancreatic cancer; Dysbiosis; Disease; Immune system; Biology; Cancer; Bioinformatics; Human microbiome; Human Microbiome Project; Gut flora; Immunology; Medicine; Internal medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005268434,0.00009818651,0.0004323926,0.0002836887,0.00005398621,0.0000224569,0.00006153528,0.00007497492,0.00001961083],"category_scores_gemma":[0.00004458115,0.00007563534,0.00005279412,0.0001572381,0.0001494447,0.0001911389,0.0000107803,0.0001414527,5.075134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465763,"about_ca_system_score_gemma":0.0004030023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002176241,"about_ca_topic_score_gemma":0.000001934173,"domain_scores_codex":[0.9989665,0.00003691369,0.0006061651,0.00008211417,0.000162704,0.000145623],"domain_scores_gemma":[0.9991952,0.00005902627,0.0003026612,0.00008499686,0.0002323894,0.0001257097],"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":[0.00004147015,0.00002478343,0.02238209,0.001023389,0.0000912537,0.000009811849,0.001216516,4.619546e-7,0.9723168,0.00002102616,0.0001916501,0.002680722],"study_design_scores_gemma":[0.0008888424,0.003264491,0.0389841,0.00322697,0.000668093,0.0005744766,0.0006043189,0.008834694,0.942101,0.0005453408,0.0001455371,0.0001621259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970317,0.000516705,0.001653256,0.0002949851,0.00004441664,0.0003524092,0.00006453817,0.00001535165,0.00002664529],"genre_scores_gemma":[0.9930954,0.0004242101,0.00600587,0.0001098935,0.0001630636,0.00001938853,0.00004626492,0.00001776907,0.0001181281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03021582,"threshold_uncertainty_score":0.308432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989015907957648,"score_gpt":0.3570700593039928,"score_spread":0.3271799002244163,"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."}}