{"id":"W4413346361","doi":"10.1121/10.0038636","title":"A call for comparable measurements of underwater radiated noise related to vessel speed reduction programs","year":2025,"lang":"en","type":"article","venue":"JASA Express Letters","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Office of National Marine Sanctuaries; Transport Canada","keywords":"Underwater; Comparability; Noise (video); Reduction (mathematics); Computer science; Noise reduction; Marine engineering; Environmental science; Engineering; Artificial intelligence; Mathematics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002839284,0.0001597698,0.0002573815,0.00004762204,0.00009975616,0.0000275892,0.0002979617,0.00005383909,0.0001225621],"category_scores_gemma":[0.00002312619,0.000148461,0.00008368425,0.000344642,0.00009350845,0.0001165024,0.0002456859,0.00008116344,0.00006209537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114298,"about_ca_system_score_gemma":0.00000536545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465153,"about_ca_topic_score_gemma":0.0000695162,"domain_scores_codex":[0.9985954,0.00005570638,0.0003367562,0.0003654087,0.0003273449,0.0003194449],"domain_scores_gemma":[0.999536,0.00001994166,0.00009617212,0.0002609034,0.00001951905,0.00006748644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000245425,0.0002964311,0.067543,0.0001716026,0.0001734103,0.000001725845,0.0005642982,0.005157259,0.7529047,0.00002911647,0.167143,0.005770065],"study_design_scores_gemma":[0.007467682,0.000634855,0.3134262,0.0007793373,0.000407831,0.000005630435,0.0004605743,0.00306987,0.2919928,0.0004045135,0.3799246,0.001426127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882916,0.00004847725,0.0006551942,0.004472563,0.0001914845,0.001428214,0.00000436558,0.00006272569,0.004845339],"genre_scores_gemma":[0.9948825,0.000008180256,0.00261647,0.001296095,0.00001480278,0.0001334658,0.00001651993,0.00001708668,0.001014912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4609119,"threshold_uncertainty_score":0.6054065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574171111700394,"score_gpt":0.2665100169510068,"score_spread":0.2307683058340028,"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."}}