{"id":"W4400850424","doi":"10.1016/j.oceaneng.2024.118687","title":"A multi-objective optimization framework for reducing the impact of ship noise on marine mammals","year":2024,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Noise (video); Marine engineering; Fishery; Environmental science; Computer science; Oceanography; Engineering; Geology; Biology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001564123,0.001621727,0.001041779,0.000958737,0.000491563,0.001083262,0.001159605,0.001443766,0.001962189],"category_scores_gemma":[0.00146001,0.0005939473,0.001192066,0.0007245602,0.0006348708,0.00066353,0.0009821834,0.001073419,0.0002460782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008150401,"about_ca_system_score_gemma":0.001903277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007970594,"about_ca_topic_score_gemma":0.005886985,"domain_scores_codex":[0.9995348,0.0001856474,0.00001985361,0.00006578555,0.0001321771,0.00006168088],"domain_scores_gemma":[0.9995323,0.000264044,0.0000616553,0.00001577191,0.00009485426,0.000031438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006149783,0.00001257228,0.00009972697,0.00002693323,0.0000150588,0.00001875783,0.000008280704,0.9941685,0.0004853132,0.001252613,0.0001210936,0.003784949],"study_design_scores_gemma":[0.000003967025,0.00002698331,0.00005125491,0.000006143323,0.000006839641,0.000004619056,0.000005672036,0.998847,0.0001274804,0.0006684018,0.0002485159,0.00000298954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01238804,0.0003931893,0.9834564,0.0001236966,0.00004241572,0.00005716243,0.00004442899,0.0001134324,0.003381165],"genre_scores_gemma":[0.5598174,0.0006623375,0.4331497,0.0002385384,0.00007319533,0.0005715627,0.0002347386,0.0001372832,0.005115265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007970594,"threshold_uncertainty_score":0.0158484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598150636117575,"score_gpt":0.2632328698577309,"score_spread":0.2472513634965551,"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."}}