{"id":"W4312378355","doi":"10.1121/2.0001638","title":"The SOUNDS project: towards effective mitigation of underwater noise from shipping in Europe","year":2022,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Underwater; Agency (philosophy); Stakeholder; Computer science; Noise control; Environmental resource management; Business; Environmental science; Oceanography; Noise reduction; Political science; Artificial intelligence; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004778298,0.0006873829,0.000322777,0.0009488057,0.0009035423,0.001876532,0.0008677432,0.00122781,0.00187207],"category_scores_gemma":[0.002078856,0.0001548534,0.0004555555,0.0006349655,0.0008639561,0.001110721,0.003818981,0.000547378,0.000345168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315541,"about_ca_system_score_gemma":0.01053662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384527,"about_ca_topic_score_gemma":0.02423431,"domain_scores_codex":[0.9978936,0.0008828836,0.00008474384,0.0002268129,0.0005390462,0.0003730447],"domain_scores_gemma":[0.9988425,0.0002352659,0.0001274762,0.00007868647,0.0003543173,0.0003616489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007432615,0.001210117,0.02428155,0.002336804,0.0002512495,0.001219135,0.01367278,0.008780621,0.0403843,0.02276687,0.02434046,0.8600129],"study_design_scores_gemma":[0.0003133031,0.004885075,0.1957597,0.002191951,0.0005023978,0.0006535877,0.04383008,0.007482477,0.03226673,0.009849497,0.7021192,0.0001460904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7612069,0.011975,0.09764056,0.01224347,0.001046879,0.001706715,0.001493688,0.001158358,0.1115285],"genre_scores_gemma":[0.8448774,0.009245446,0.09009068,0.003792632,0.0002057082,0.0008287995,0.002388706,0.0001969681,0.0483737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02384527,"threshold_uncertainty_score":0.04741293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138744508814786,"score_gpt":0.232109438247491,"score_spread":0.2207219931593432,"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."}}