{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237901,0.00006572354,0.00005958682,0.00001407936,0.0003851919,0.000005166167,0.0007570356,0.00007926476,0.00002304767],"category_scores_gemma":[0.00004833486,0.00005608375,0.00005523972,0.0001284897,0.0002631628,0.000002708409,0.003551517,0.0002853583,4.010978e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007244226,"about_ca_system_score_gemma":0.000038803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004088528,"about_ca_topic_score_gemma":0.0001468335,"domain_scores_codex":[0.9994612,0.0001366273,0.00007613983,0.0001562612,0.00008164168,0.00008816703],"domain_scores_gemma":[0.9988967,0.00001010399,0.00005960844,0.0009770991,0.00003194911,0.00002460615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007562248,0.000301616,0.9531462,0.00002193354,0.00008226781,6.798626e-7,0.00009846214,0.0000219216,0.03346773,0.001666289,0.008777521,0.002339771],"study_design_scores_gemma":[0.0003878585,0.00009429816,0.46479,0.000001056509,0.00003999984,0.00003084461,0.0004838196,0.00002735649,0.003727104,0.0002808402,0.5299919,0.0001449471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836745,0.00957399,0.000002003457,0.005659326,0.00009144041,0.0002291706,0.0004498508,0.0000046223,0.0003151527],"genre_scores_gemma":[0.9987718,0.000366747,0.0001594039,0.0002873105,0.00001055602,0.000004347321,0.000288963,0.000002254692,0.0001085803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5212144,"threshold_uncertainty_score":0.4426711,"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."}}