{"id":"W3155652465","doi":"10.1371/journal.pone.0249832","title":"Non-small cell lung cancer microbiota characterization: Prevalence of enteric and potentially pathogenic bacteria in cancer tissues","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Lung cancer; Cancer; Biology; Adenocarcinoma; Pathogenic bacteria; Gut flora; Amplicon; Gastrointestinal tract; Microbiome; Pathology; Microbiology; Bacteria; Medicine; Immunology; Bioinformatics; Polymerase chain reaction; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000226678,0.000175141,0.0002778272,0.0009955429,0.0003421789,0.0004712609,0.0001019447,0.0002500773,0.0008804074],"category_scores_gemma":[0.0005014029,0.00009103354,0.0001742758,0.0005161178,0.0002943554,0.000169905,0.0003655058,0.0001530546,0.0002708474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008965274,"about_ca_system_score_gemma":0.0001931575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026751,"about_ca_topic_score_gemma":0.00174404,"domain_scores_codex":[0.999663,0.00006507151,0.00003533574,0.00008611741,0.00007873593,0.00007167648],"domain_scores_gemma":[0.9997554,0.00005534679,0.00005774068,0.00001936222,0.00005596605,0.00005617936],"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":[0.0005682874,0.00007146146,0.3691985,0.0002244717,0.00004801646,0.0006273153,0.000790388,0.00009900193,0.6131632,0.00005365504,0.00005974326,0.01509594],"study_design_scores_gemma":[0.000007043579,0.0006172478,0.9229991,0.00002832254,0.00006994136,0.004196985,0.0014701,0.0005653088,0.06824716,0.00008641549,0.001700572,0.00001173544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973974,0.0009753304,0.0008502674,0.00002061371,0.000004219346,0.00002005754,0.0001890972,0.00000711219,0.0005358274],"genre_scores_gemma":[0.997865,0.0004413874,0.001010635,0.00001778719,0.000004888377,0.00001209042,0.0003604173,0.000004049694,0.000283719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001026751,"threshold_uncertainty_score":0.002945304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340153667683943,"score_gpt":0.2379118321431159,"score_spread":0.2245102954662765,"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."}}