{"id":"W2587669036","doi":"10.1007/s11252-017-0652-7","title":"Mountain chickadees adjust songs, calls and chorus composition with increasing ambient and experimental anthropogenic noise","year":2017,"lang":"en","type":"article","venue":"Urban Ecosystems","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Bird Studies Canada; University of Northern British Columbia","keywords":"Ambient noise level; Noise pollution; QUIET; Noise (video); Masking (illustration); Urbanization; Environmental science; Pollution; Habitat; Noise exposure; Ecology; Acoustics; Biology; Sound (geography); Audiology; Computer science; Physics; Noise reduction","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":[0.0001151013,0.0001300845,0.000133178,0.00001857898,0.0004513586,0.0001384918,0.0001492752,0.00008283935,0.000008247757],"category_scores_gemma":[0.000008070075,0.0001113775,0.00002353582,0.00001146724,0.0001825498,0.00001308046,0.000165041,0.00006583819,0.00000323422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001971229,"about_ca_system_score_gemma":0.00001527778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005719035,"about_ca_topic_score_gemma":0.0002591088,"domain_scores_codex":[0.9993363,0.00006768257,0.0001317725,0.00024265,0.00008046231,0.0001411088],"domain_scores_gemma":[0.9993556,0.000005395177,0.0001170435,0.0003904561,0.00003200602,0.00009949417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001590848,0.00006309029,0.08432673,0.00001643266,0.00002036879,0.000003173827,0.0001164507,3.486939e-7,0.9149573,0.00005347858,0.0001074454,0.0001761043],"study_design_scores_gemma":[0.001816673,0.001004738,0.2062221,0.0001339076,0.00005653332,0.0002924518,0.00132174,0.0004137864,0.7821348,0.000001563585,0.006151789,0.0004499497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99716,0.002238366,0.00004872758,0.00007835541,0.00003982324,0.0002150906,0.0000225001,0.0000118329,0.0001853594],"genre_scores_gemma":[0.9994202,0.0001111532,0.000161064,0.00003447198,0.00009228162,0.00002118324,0.00007489779,0.00001682048,0.00006797947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328225,"threshold_uncertainty_score":0.4541843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511971689337879,"score_gpt":0.2708862440887299,"score_spread":0.2557665271953511,"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."}}