{"id":"W4294237989","doi":"10.1038/s41467-022-32684-4","title":"Biodiversity, environmental drivers, and sustainability of the global deep-sea sponge microbiome","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fundação para a Ciência e a Tecnologia; Executive Agency for Small and Medium-sized Enterprises; Universitetet i Bergen; Directorate for Biological Sciences; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; European Commission","keywords":"Sustainability; Biodiversity; Sponge; Microbiome; Environmental resource management; Ecology; Geography; Biology; Environmental science; Bioinformatics; Paleontology","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":[0.0004573209,0.0001971188,0.0002424405,0.0007478541,0.0003179304,0.0008698427,0.000115345,0.0002646337,0.0009543979],"category_scores_gemma":[0.0007753748,0.0001302482,0.0002204241,0.00081527,0.0005083692,0.0006352545,0.001308757,0.000263695,0.000146797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468661,"about_ca_system_score_gemma":0.0003763154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676634,"about_ca_topic_score_gemma":0.004036176,"domain_scores_codex":[0.9997641,0.00006218406,0.00001680247,0.00007371671,0.00003922984,0.00004389643],"domain_scores_gemma":[0.9993495,0.00011603,0.0002913768,0.00006696964,0.00008262094,0.00009333331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001064079,0.00001533938,0.9306588,0.0001525847,0.0001104557,0.0002191124,0.0004910739,0.0006648495,0.05294725,0.0005313948,0.0001139338,0.01398892],"study_design_scores_gemma":[0.000001279418,0.00003267387,0.9967264,0.00001349684,0.00002281528,0.0001310602,0.0009208396,0.0003541505,0.0006215603,0.0004353307,0.0007346266,0.000005728771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979171,0.0005251003,0.000363892,0.00008096575,0.000003026269,0.000002804715,0.000367255,0.000004461145,0.0007354491],"genre_scores_gemma":[0.9992903,0.0002371222,0.0001865886,0.00001890919,0.000003366011,0.000002637325,0.0001699023,0.000002356302,0.00008879204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001676634,"threshold_uncertainty_score":0.003333747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004341992665978018,"score_gpt":0.2281570325679224,"score_spread":0.2238150399019444,"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."}}