{"id":"W3093288239","doi":"10.1038/s41598-020-74670-0","title":"Differential processing of dissolved and particulate organic matter by deep-sea sponges and their microbial symbionts","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Directorate for Biological Sciences; Fisheries and Oceans Canada; Universitetet i Bergen; Executive Agency for Small and Medium-sized Enterprises; Universiteit van Amsterdam; European Commission","keywords":"Particulates; Deep sea; Particulate organic carbon; Organic matter; Dissolved organic carbon; Particulate organic matter; Differential (mechanical device); Oceanography; Environmental science; Ecology; Environmental chemistry; Biology; Chemistry; Geology; Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122602,0.0001224478,0.0001453113,0.00001763763,0.0001000739,0.00008936547,0.00005389945,0.00008273468,0.00006739891],"category_scores_gemma":[0.00004915561,0.00009038329,0.00003123181,0.00008916455,0.0001838981,0.000008031047,0.0001828793,0.00006868663,9.877433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002154237,"about_ca_system_score_gemma":0.00002251516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004691812,"about_ca_topic_score_gemma":0.000008974393,"domain_scores_codex":[0.9989456,0.00002143309,0.0002224716,0.0005588268,0.00008583509,0.000165865],"domain_scores_gemma":[0.9994997,0.000002458449,0.0001386719,0.0001856343,0.0000711184,0.0001024571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002935048,0.00001865446,0.01762619,0.00007044478,0.00001464254,0.000005250603,0.0001001234,2.508608e-7,0.9765293,2.744562e-7,0.003104675,0.00250081],"study_design_scores_gemma":[0.0001610451,0.00004444754,0.01094783,0.00001423477,0.00001884633,0.00007454002,0.00003320972,0.0001142247,0.9835822,0.00004738932,0.004819595,0.0001424708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976106,0.0011508,0.00009819269,0.0006112726,0.0003485276,0.0001360851,0.00000584182,0.000006946876,0.00003177513],"genre_scores_gemma":[0.9991837,0.00002497847,0.00004366868,0.00006881836,0.00007268648,0.000001687982,0.0001223297,0.0000114971,0.0004706649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007052842,"threshold_uncertainty_score":0.3685724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005218442506235979,"score_gpt":0.1991996340976536,"score_spread":0.1939811915914177,"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."}}