{"id":"W2945346908","doi":"10.1136/gutjnl-2019-318556","title":"International Cancer Microbiome Consortium consensus statement on the role of the human microbiome in carcinogenesis","year":2019,"lang":"en","type":"article","venue":"Gut","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"National Institute for Health and Care Research; Imperial College Healthcare NHS Trust; Imperial College London; National Cancer Institute; NIHR Imperial Biomedical Research Centre; Cancer Research UK","keywords":"Microbiome; Statement (logic); Carcinogenesis; Cancer; Biology; Human Microbiome Project; Bioinformatics; Human microbiome; Computational biology; Medicine; Genetics; Political science","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":[0.1365478,0.001864687,0.00276253,0.005748137,0.004368025,0.006959455,0.00851313,0.0175641,0.006933856],"category_scores_gemma":[0.1307778,0.001343713,0.005216576,0.004476734,0.003850527,0.004256777,0.0112448,0.02276826,0.004810853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009848782,"about_ca_system_score_gemma":0.07721877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00977233,"about_ca_topic_score_gemma":0.007192235,"domain_scores_codex":[0.912819,0.04721699,0.01101161,0.003587934,0.02016785,0.005196772],"domain_scores_gemma":[0.8319965,0.04660603,0.009732257,0.004653335,0.08660404,0.02040772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001878725,0.0001054044,0.001183237,0.005337141,0.0001989166,0.000325543,0.001048881,0.001075647,0.0007783645,0.01585348,0.8638168,0.1100887],"study_design_scores_gemma":[0.00008183242,0.0000985478,0.0009148087,0.01042569,0.0001869292,0.0003871403,0.0007233192,0.0004424989,0.0005092626,0.01058028,0.975556,0.00009368685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001713535,0.05520065,0.0236984,0.809424,0.083244,0.002693461,0.002677597,0.0003993341,0.02094899],"genre_scores_gemma":[0.05224788,0.1494146,0.1758526,0.4939169,0.04111945,0.01623733,0.01847624,0.0008992578,0.05183572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1365478,"threshold_uncertainty_score":0.7221425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101168574311884,"score_gpt":0.2708355004386577,"score_spread":0.2607186430074693,"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."}}