{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007609725,0.000282633,0.0001567217,0.000148971,0.0002066419,0.0002343308,0.000170285,0.0002027517,0.0003711869],"category_scores_gemma":[0.000177185,0.0001245637,0.000121693,0.00009365931,0.0003912825,0.0001586128,0.0003473845,0.0001969569,0.0001560198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785437,"about_ca_system_score_gemma":0.0003211416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109387,"about_ca_topic_score_gemma":0.02912033,"domain_scores_codex":[0.9999381,0.000005505462,0.00000412191,0.00002275772,0.00001133476,0.00001813478],"domain_scores_gemma":[0.9998771,0.00001737433,0.00004816565,0.00001005117,0.00001881458,0.00002847112],"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":[0.0001423215,0.00002882941,0.05754367,0.0001613644,0.00001949016,0.0002619605,0.0004479066,0.0002152739,0.9306552,0.00005508688,0.00006069099,0.0104081],"study_design_scores_gemma":[0.00001077719,0.0006847616,0.9697989,0.00001213331,0.00001521564,0.0006496937,0.0005009539,0.0004444703,0.02647108,0.00004774083,0.001350619,0.00001355822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989985,0.0002720408,0.0001964371,0.00001660994,0.00000232751,0.000006676042,0.00004989528,0.000008086451,0.0004494179],"genre_scores_gemma":[0.9986682,0.0001506824,0.0004496769,0.00002367475,0.00000204003,0.000006648735,0.00008627056,0.000001685157,0.0006110737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109387,"threshold_uncertainty_score":0.02175009,"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."}}