{"id":"W1971902014","doi":"10.1111/j.1748-7692.2002.tb01045.x","title":"UNDERWATER NOISE OF WHALE‐WATCHING BOATS AND POTENTIAL EFFECTS ON KILLER WHALES (<i>ORCINUS ORCA</i>), BASED ON AN ACOUSTIC IMPACT MODEL","year":2002,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Whale; Noise (video); Sound exposure; Bioacoustics; Environmental science; Underwater; Masking (illustration); Cetacea; Fishery; Sound (geography); Acoustics; Biology; Oceanography; Geology; 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":[0.0001399244,0.0006034157,0.000212618,0.0003471843,0.000366897,0.0004545908,0.0004143201,0.0003731491,0.001141789],"category_scores_gemma":[0.0003087696,0.0002693535,0.0004622192,0.0001994406,0.0002297362,0.0002352329,0.0003130751,0.0002189862,0.000155316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408936,"about_ca_system_score_gemma":0.001015971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3498277,"about_ca_topic_score_gemma":0.3780906,"domain_scores_codex":[0.9999284,0.000008531336,0.000003539867,0.00002098355,0.00001666448,0.00002184276],"domain_scores_gemma":[0.9998759,0.0000399631,0.00002129224,0.000006925009,0.00003310329,0.00002276251],"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":[0.0006156611,0.0003155918,0.4140368,0.0001443299,0.0002122417,0.0007053846,0.0004457179,0.5099523,0.05915823,0.0005369104,0.0007936826,0.01308331],"study_design_scores_gemma":[0.00004047675,0.0004414577,0.4432268,0.00001957841,0.0001816557,0.00009594583,0.0004941019,0.5509113,0.00381065,0.000161678,0.000570323,0.00004605823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967591,0.00001354432,0.001759924,0.00001551261,0.000003848494,0.00001810541,0.000165345,0.00003490214,0.001229728],"genre_scores_gemma":[0.998208,0.0000325593,0.0006251581,0.000008428095,0.000001293593,0.00001982433,0.0002575535,0.000006897336,0.000840193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498277,"threshold_uncertainty_score":0.695583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234708976440825,"score_gpt":0.2329057190483943,"score_spread":0.2205586292839861,"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."}}