{"id":"W4312224057","doi":"10.1111/ibi.13174","title":"Lincoln's sparrow (<i>Melospiza lincolnii</i>) increases singing rate in areas with chronic industrial noise","year":2022,"lang":"en","type":"article","venue":"Ibis","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Sparrow; QUIET; Singing; Noise (video); Ambient noise level; Adaptation (eye); Transmission (telecommunications); Communication; Ecology; Acoustics; Biology; Computer science; Sound (geography); Psychology; Telecommunications; Physics; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001471169,0.0002994516,0.0002870001,0.0002784185,0.0003164429,0.000405051,0.000241247,0.0003004771,0.00118362],"category_scores_gemma":[0.0002177297,0.0002480042,0.0001586609,0.0001107272,0.0003850642,0.0001709078,0.0003081755,0.0004387934,0.0001947199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158791,"about_ca_system_score_gemma":0.0001948232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549476,"about_ca_topic_score_gemma":0.05414907,"domain_scores_codex":[0.9998353,0.00001688777,0.00001082988,0.00005792288,0.00003237993,0.00004663502],"domain_scores_gemma":[0.9994425,0.00005425428,0.0002052221,0.00002640897,0.00005620796,0.0002153837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007796239,0.0002975372,0.07759627,0.0001017252,0.00006790359,0.0002176696,0.0005080674,0.00006944544,0.9163024,0.00002714097,0.0001642789,0.003867926],"study_design_scores_gemma":[0.0000206783,0.00105625,0.9840187,0.000007347196,0.00003376833,0.0001301585,0.0005860367,0.0001360245,0.01353214,0.00001409901,0.0004570496,0.000007679972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996374,0.00007368262,0.00005607665,0.00001419443,0.000002124229,0.000003006123,0.00002387981,0.0000112879,0.0001783488],"genre_scores_gemma":[0.9984899,0.00006608866,0.0002876205,0.00008643227,0.000003934562,0.00001133588,0.0001019194,0.00000637318,0.0009463617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549476,"threshold_uncertainty_score":0.03080916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389054287943864,"score_gpt":0.2586310873012845,"score_spread":0.2347405444218458,"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."}}