{"id":"W4365148713","doi":"10.3389/fevo.2023.1149097","title":"Anthropogenic noise events perturb acoustic communication networks","year":2023,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Park Service; Indian Space Research Organisation; Colorado State University","keywords":"Noise (video); Wildlife; Environmental noise; Ambient noise level; Environmental science; Habitat; Ecology; Noise pollution; National park; Background noise; Noise exposure; Event (particle physics); Geography; Biology; Acoustics; Computer science; Noise reduction; Audiology; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022467,0.00008101518,0.0001000376,0.00007662079,0.0001675522,0.000004785164,0.0001559132,0.0002158791,0.00000626792],"category_scores_gemma":[0.00005882557,0.00008529233,0.00003081593,0.0001579978,0.0001499637,0.000006551335,0.000151324,0.0001322705,0.00001157923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003963921,"about_ca_system_score_gemma":0.0000245652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001332505,"about_ca_topic_score_gemma":0.0001649804,"domain_scores_codex":[0.9993173,0.0001430881,0.0001423454,0.0001736639,0.00003847242,0.0001851119],"domain_scores_gemma":[0.9996132,0.00001337702,0.00004590729,0.0002598623,0.00002884013,0.00003882406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009827727,0.00006425495,0.9826099,0.000005522968,0.00001572935,9.597361e-7,0.00003550854,0.001061698,0.005461042,0.00008237301,0.008842473,0.001722215],"study_design_scores_gemma":[0.0003808011,0.0001164763,0.9829398,0.000006931159,0.00001632412,0.000005198043,0.0002870501,0.01441179,0.00006506869,0.000343844,0.001321387,0.0001053099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990516,0.002033341,0.006529379,0.0003122283,0.0003041834,0.0001453951,0.000003613735,0.00002623767,0.0001296083],"genre_scores_gemma":[0.9953049,0.003281666,0.0005815541,0.0001153987,0.0000346202,0.00003614367,0.0002193769,0.00000914024,0.000417158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335009,"threshold_uncertainty_score":0.347812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00979894046801307,"score_gpt":0.2570672505127504,"score_spread":0.2472683100447373,"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."}}