{"id":"W1974557614","doi":"10.1121/1.4783461","title":"Marine mammal noise exposure criteria: Initial scientific recommendations.","year":2009,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"LGL (Canada)","funders":"","keywords":"Marine mammal; Sound exposure; Noise exposure; Noise (video); Extrapolation; Environmental science; Disturbance (geology); Bioacoustics; Cumulative effects; Range (aeronautics); Audiology; Sound (geography); Hearing loss; Medicine; Biology; Ecology; Computer science; Statistics; Acoustics; Mathematics; Physics","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":[0.03473162,0.002537502,0.001842445,0.009988143,0.00198206,0.001990912,0.008731171,0.01283979,0.006292739],"category_scores_gemma":[0.03212215,0.00132807,0.00258942,0.003803578,0.001854264,0.002998741,0.003110708,0.005870563,0.008590832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622937,"about_ca_system_score_gemma":0.01202017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372641,"about_ca_topic_score_gemma":0.02190057,"domain_scores_codex":[0.9864775,0.003019036,0.003478912,0.0006599734,0.005830511,0.0005341335],"domain_scores_gemma":[0.9494632,0.01014908,0.003569567,0.001545858,0.03311173,0.002160424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003764762,0.0007297826,0.009579081,0.005733335,0.0001135052,0.00101285,0.0007552836,0.001295287,0.004747344,0.005353748,0.6346249,0.3356784],"study_design_scores_gemma":[0.0001311076,0.0004171478,0.01971835,0.009092392,0.0003333273,0.0009132764,0.0008664722,0.0009488009,0.002000911,0.005276787,0.9601724,0.0001288794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01614397,0.2107378,0.08061107,0.4311564,0.03352495,0.01349989,0.03327189,0.002619176,0.1784348],"genre_scores_gemma":[0.06038972,0.1434286,0.4371408,0.18135,0.01444198,0.02468808,0.04735583,0.0005779485,0.09062694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03473162,"threshold_uncertainty_score":0.1836805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832220387954502,"score_gpt":0.2751762894139634,"score_spread":0.2568540855344184,"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."}}