{"id":"W1975254050","doi":"10.1080/09524622.2014.994228","title":"Comparison of autonomous and manual recording methods for discrimination of individually distinctive Ovenbird songs","year":2014,"lang":"en","type":"article","venue":"Bioacoustics","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"Research and Innovation Foundation; Society of Canadian Ornithologists; Ontario Ministry of Research and Innovation; Algoma University","keywords":"Bioacoustics; Microphone; Spectrogram; Noise (video); Omnidirectional antenna; Population; Quality (philosophy); Soundscape; Computer science; Speech recognition; Acoustics; Artificial intelligence; Sound (geography); Telecommunications; Sound pressure","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":[0.000286435,0.00007468632,0.0001585402,0.00002655122,0.00004334572,0.00000633135,0.0001096928,0.00009037965,0.000002236504],"category_scores_gemma":[0.0002965072,0.00007057768,0.00004177416,0.00003146518,0.0001243273,0.000002300053,0.00009805573,0.00004100583,1.199422e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006173364,"about_ca_system_score_gemma":0.00001756316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001252036,"about_ca_topic_score_gemma":0.00001326919,"domain_scores_codex":[0.999451,0.00007099687,0.0002222964,0.0001269788,0.00004814592,0.00008053332],"domain_scores_gemma":[0.9994057,0.00008511708,0.0001851878,0.0001591942,0.0001334902,0.0000312764],"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":[0.0001013932,0.0001803704,0.009323623,0.0001160705,0.00002734256,1.777526e-8,0.0002682943,0.00001513418,0.8043163,0.00170824,0.0002903413,0.1836529],"study_design_scores_gemma":[0.001133759,0.003075558,0.0783543,0.00006624003,0.0004061134,0.00000306591,0.002605168,0.01908818,0.8709904,0.0006776464,0.02318901,0.0004105647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3784798,0.0001284463,0.6209455,0.00004679271,0.00004588689,0.0001296544,0.00004513123,0.000005007563,0.0001737356],"genre_scores_gemma":[0.8586004,0.00001696059,0.1411807,0.00002000471,0.00002833218,0.000009431559,0.00007884272,0.000008816218,0.00005656499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4801205,"threshold_uncertainty_score":0.2878074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567205536603007,"score_gpt":0.4284908017225711,"score_spread":0.372818746356541,"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."}}