{"id":"W4214760834","doi":"10.1038/s41598-022-07292-3","title":"Oceanographic setting influences the prokaryotic community and metabolome in deep-sea sponges","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Horizon 2020 Framework Programme; Stockholms Universitet; Uppsala Universitet; Háskóli Íslands","keywords":"Metabolome; Biology; Acidobacteria; Sponge; Phylum; Amplicon sequencing; Microbiome; 16S ribosomal RNA; Metabolomics; Proteobacteria; Prokaryote; Firmicutes; Bacteria; Botany; Genetics; Bioinformatics","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":[0.0001124955,0.0002715264,0.0002820889,0.0004482132,0.0002117071,0.0003993218,0.00008982458,0.0002496566,0.0007170998],"category_scores_gemma":[0.0003110405,0.0002224077,0.0002111186,0.0004112863,0.0003176874,0.0003189645,0.0005615855,0.0002344553,0.0001710736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523655,"about_ca_system_score_gemma":0.0001906411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642198,"about_ca_topic_score_gemma":0.004036045,"domain_scores_codex":[0.999861,0.00002879486,0.0000131595,0.00004331274,0.00002770652,0.0000260688],"domain_scores_gemma":[0.9997774,0.00003324199,0.00008210667,0.00001259526,0.00004042664,0.0000542926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004283656,0.00002850104,0.1684611,0.0001454163,0.00006144524,0.0001928051,0.0004733156,0.0001391296,0.8261994,0.00004051414,0.0000404123,0.003789606],"study_design_scores_gemma":[0.000005195596,0.0001677219,0.9857278,0.000009299785,0.00003461626,0.0001658955,0.0006161486,0.0002992165,0.01248164,0.00004547284,0.0004336894,0.0000133738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990331,0.0002320025,0.000165143,0.00001726038,0.00000262822,0.000003885969,0.0002493045,0.000004428189,0.0002922832],"genre_scores_gemma":[0.9989574,0.0001918074,0.0003127503,0.00003141851,0.000002622628,0.00000795334,0.0002825636,0.000004209126,0.0002091879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002642198,"threshold_uncertainty_score":0.005253673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008938583312263292,"score_gpt":0.2362077203114469,"score_spread":0.2272691369991836,"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."}}