{"id":"W4402402046","doi":"10.1111/gcb.17490","title":"Males miss and females forgo: Auditory masking from vessel noise impairs foraging efficiency and success in killer whales","year":2024,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"H2020 Marie Skłodowska-Curie Actions; Fisheries and Oceans Canada; Office of Science; University of British Columbia; National Oceanic and Atmospheric Administration; Natural Sciences and Engineering Research Council of Canada; Northwest Fisheries Science Center; University of Cumbria","keywords":"Foraging; Human echolocation; Predation; Marine ecosystem; Odds; Noise (video); Biology; Ecology; Masking (illustration); Whale; Marine mammal; Fishery; Environmental science; Ecosystem; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573743,0.0003419242,0.0002940059,0.0002529766,0.0002472284,0.0003962759,0.0002126851,0.0005207922,0.002553001],"category_scores_gemma":[0.000979625,0.0002645091,0.0002784175,0.00007771747,0.0003076193,0.0002038747,0.0005158942,0.0005453198,0.0003348617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129722,"about_ca_system_score_gemma":0.0001745748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391682,"about_ca_topic_score_gemma":0.004353281,"domain_scores_codex":[0.9997724,0.00003319786,0.00001825916,0.00008570159,0.00003404562,0.00005638476],"domain_scores_gemma":[0.9994866,0.00008297847,0.0001702785,0.00005693321,0.00003380614,0.0001694237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005227694,0.001478703,0.5681812,0.0001964232,0.0003727097,0.001480237,0.001491428,0.0002704843,0.3962043,0.0001380182,0.001172358,0.02378649],"study_design_scores_gemma":[0.00001988005,0.001361497,0.9921029,0.00001386909,0.00008261091,0.0004308493,0.0007211657,0.0004215052,0.004501796,0.00005484866,0.0002767403,0.00001227672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997621,0.00002488443,0.00005072842,0.00002858741,0.000005500626,0.000001977085,0.00004611824,0.000004925508,0.00007503633],"genre_scores_gemma":[0.9992305,0.000033103,0.00006840529,0.00005978866,0.000004124504,0.00001413511,0.00006777734,0.0000038418,0.0005182441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003391682,"threshold_uncertainty_score":0.00854069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407989436085165,"score_gpt":0.2842239728846791,"score_spread":0.2501440785238275,"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."}}