{"id":"W4220908371","doi":"10.3389/fmars.2022.851400","title":"The Ups and Downs of Using Active Acoustic Technologies to Study Fish at Tidal Energy Sites","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Offshore Energy Research Association","keywords":"Echo sounding; Water column; Environmental science; Tidal power; Current (fluid); Oceanography; Acoustic Doppler current profiler; Abundance (ecology); Fish <Actinopterygii>; Sampling (signal processing); Hydrology (agriculture); Estuary; Fishery; Geology; Marine engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987654,0.00007349268,0.0001060056,0.0001036192,0.001096908,0.00001214835,0.000516625,0.00001119307,0.00007398679],"category_scores_gemma":[0.0001477869,0.00005814038,0.00000983147,0.0008328405,0.00109525,0.0001177846,0.007545617,0.00007944561,7.618107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868522,"about_ca_system_score_gemma":0.000008356127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307046,"about_ca_topic_score_gemma":0.001800141,"domain_scores_codex":[0.9990429,0.00003842314,0.0001107582,0.0002980547,0.0002624608,0.0002473709],"domain_scores_gemma":[0.9996867,0.00004585385,0.00005556954,0.0001877303,0.000005313551,0.00001886885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003116326,0.00006355752,0.9828011,0.000001059498,0.00000818968,0.000006581929,0.0006144393,0.00334485,0.0009571888,0.00002423027,0.003423531,0.008724115],"study_design_scores_gemma":[0.0001601739,0.0001783318,0.980092,7.620332e-7,0.00001068397,0.000002398464,0.01474816,0.001736358,0.000486683,0.001694986,0.0007987285,0.00009072752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973149,0.000005491217,0.0001678858,0.0006303565,0.000206779,0.0002108459,0.000002688826,0.0000195677,0.001441514],"genre_scores_gemma":[0.9965796,0.00002058973,0.002675139,0.0001353095,0.000002020834,0.00005226511,2.913178e-7,0.000002631061,0.0005321248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413372,"threshold_uncertainty_score":0.9405072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006589164164651151,"score_gpt":0.2121104333037941,"score_spread":0.2055212691391429,"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."}}