{"id":"W3040245690","doi":"10.1186/s40168-020-00875-0","title":"Microbiome definition re-visited: old concepts and new challenges","year":2020,"lang":"en","type":"letter","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Bioinformatics Solutions (Canada); University of Waterloo","funders":"Horizon 2020; Agence Nationale de la Recherche; European Commission","keywords":"Biology; Microbiome; Microbial ecology; Medical microbiology; Computational biology; Evolutionary biology; Ecology; Bioinformatics; Genetics; Immunology; Bacteria","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":[0.09090374,0.002836154,0.004537021,0.01191539,0.007547287,0.01971062,0.00996142,0.01237556,0.004573043],"category_scores_gemma":[0.127867,0.001468413,0.002843571,0.01040992,0.0510518,0.07066298,0.02123315,0.03614954,0.002901408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209067,"about_ca_system_score_gemma":0.01594338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006005172,"about_ca_topic_score_gemma":0.004377261,"domain_scores_codex":[0.9404193,0.03460314,0.005960477,0.006881166,0.009886649,0.002249243],"domain_scores_gemma":[0.8578213,0.1021038,0.005817797,0.01001642,0.0183144,0.005926311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001377756,0.00006940408,0.001898258,0.005533708,0.0001062271,0.0003915633,0.01814462,0.001023728,0.0005886583,0.5662091,0.1249732,0.2809238],"study_design_scores_gemma":[0.00001136507,0.00005567025,0.0009339713,0.007509434,0.00002871582,0.001021484,0.01696985,0.0009071026,0.0002580907,0.5219274,0.4502334,0.0001435658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002729759,0.3864391,0.05207318,0.5197518,0.03359275,0.00006260733,0.0003318251,0.0002599659,0.004758972],"genre_scores_gemma":[0.09606677,0.4633462,0.1444091,0.2058423,0.08003134,0.0008057678,0.001528788,0.001564421,0.006405394],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09090374,"threshold_uncertainty_score":0.4807507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846057888469046,"score_gpt":0.2738255376313257,"score_spread":0.2253649587466352,"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."}}