{"id":"W3173709098","doi":"10.1038/s43705-021-00031-1","title":"Emergent “core communities” of microbes, meiofauna and macrofauna at hydrothermal vents","year":2021,"lang":"en","type":"article","venue":"ISME Communications","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Institut Nordique De Recherche En Environnement Et En Santé Au Travail; Canada First Research Excellence Fund","keywords":"Biology; Hydrothermal vent; Ecology; Species richness; Meiobenthos; Bacteroidetes; Gammaproteobacteria; Ecosystem; Beta diversity; Taxon; Community structure; Alpha diversity; Marine ecosystem; Abundance (ecology); Hydrothermal circulation; Paleontology; 16S ribosomal RNA","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":[0.0001862776,0.0001743002,0.000233655,0.0005685025,0.0003241387,0.000488029,0.0001783623,0.0001786312,0.0005042833],"category_scores_gemma":[0.0004208563,0.0001991731,0.0002240044,0.0002389079,0.000342184,0.0003803895,0.0006533225,0.0001803842,0.00009139432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224542,"about_ca_system_score_gemma":0.0001905315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088262,"about_ca_topic_score_gemma":0.005549501,"domain_scores_codex":[0.9998605,0.0000125879,0.00001111773,0.00006370463,0.00002303421,0.00002907343],"domain_scores_gemma":[0.9997653,0.0000379799,0.00006823231,0.00001745566,0.00005222102,0.00005879782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000281333,0.00002899748,0.5574814,0.00007457037,0.00007384666,0.0001096459,0.001230793,0.000385695,0.4278826,0.0002045545,0.00006271453,0.01218384],"study_design_scores_gemma":[0.000002432053,0.00005078451,0.9935107,0.00000433373,0.00001340318,0.0001003303,0.0003139999,0.0007757336,0.004974206,0.0001130206,0.0001361697,0.000004937302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993688,0.0000476202,0.0003429207,0.00000493875,6.976258e-7,0.000003154278,0.00006691947,0.000006417915,0.0001584773],"genre_scores_gemma":[0.9991639,0.0000318278,0.0005627968,0.000008255783,0.000002349359,0.000004664815,0.0001159932,0.000002816568,0.0001073839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003088262,"threshold_uncertainty_score":0.00614059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713890886137412,"score_gpt":0.2757961257509398,"score_spread":0.2386572168895656,"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."}}