{"id":"W3137899270","doi":"10.3389/fmars.2021.611539","title":"The Hexactinellid Deep-Water Sponge Vazella pourtalesii (Schmidt, 1870) (Rossellidae) Copes With Temporarily Elevated Concentrations of Suspended Natural Sediment","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Wageningen University and Research; Horizon 2020; Fisheries and Oceans Canada; Universiteit van Amsterdam; Koninklijk Nederlands Instituut voor Onderzoek der Zee; Dalhousie University; Horizon 2020 Framework Programme","keywords":"Sediment; Sponge; Respiration; Clearance rate; Geology; Biology; Geomorphology; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006118579,0.0001897144,0.0002026205,0.00006595218,0.0002589837,0.00008881922,0.0004692145,0.00006358194,0.00004236111],"category_scores_gemma":[0.0001536843,0.0001156796,0.00005005496,0.0005570126,0.0007290178,0.00002463725,0.000410164,0.0002061648,0.000002323112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004045312,"about_ca_system_score_gemma":0.0003360913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000476075,"about_ca_topic_score_gemma":0.0001390974,"domain_scores_codex":[0.9982023,0.00007445833,0.0003101487,0.0005681827,0.0003698426,0.000475056],"domain_scores_gemma":[0.9988764,0.00001643107,0.0001140792,0.0005282685,0.00037635,0.00008848517],"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":[0.0004316129,0.0001140909,0.1916913,0.00003012949,0.00006393855,0.00004421214,0.00009568232,0.0002651606,0.8001414,0.0005451055,0.001599028,0.004978318],"study_design_scores_gemma":[0.0006981019,0.0001435118,0.02036368,0.00001296175,0.00001542566,0.00003400397,0.0003710257,0.0004230566,0.9655897,0.0002586586,0.01185335,0.000236498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945657,0.0008271526,0.0002482164,0.0006982672,0.0007474256,0.0002918594,0.000003716544,0.0000105016,0.002607151],"genre_scores_gemma":[0.9841528,0.0003829714,0.009956175,0.00009336413,0.00008911952,0.000007667123,0.0001060616,0.00001224102,0.005199601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713276,"threshold_uncertainty_score":0.4717278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00463599178623613,"score_gpt":0.2196554284425148,"score_spread":0.2150194366562786,"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."}}