{"id":"W2543288189","doi":"10.1109/cima.2005.1662316","title":"Automatic Birdsong Recognition Based on Autoregressive Time-Delay Neural Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Backpropagation; Computer science; Artificial neural network; Autoregressive model; Speech recognition; Artificial intelligence; Pattern recognition (psychology); Time delay neural network; Syllable; Alphabet; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002569236,0.0002119031,0.000194779,0.0002722013,0.0001197942,0.0002842747,0.0004216456,0.0002365622,0.0007914425],"category_scores_gemma":[0.0006350175,0.0001460052,0.0001854946,0.0002434387,0.0001697683,0.0003578221,0.0001343302,0.0002759466,0.0003172825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373626,"about_ca_system_score_gemma":0.00022383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714996,"about_ca_topic_score_gemma":0.00442826,"domain_scores_codex":[0.9998757,0.00001924808,0.000006077158,0.0000372809,0.00004681525,0.00001490807],"domain_scores_gemma":[0.9997535,0.00009205707,0.00003352327,0.00002776262,0.00008130666,0.0000118975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002135904,0.00007422049,0.002434052,0.0001069921,0.0000450204,0.0001091216,0.00006234556,0.0214227,0.3741293,0.001573454,0.001285974,0.5985432],"study_design_scores_gemma":[0.00002893777,0.0002175202,0.009652047,0.00001632863,0.00004479389,0.0005660332,0.00003254017,0.8026391,0.1809701,0.001253263,0.004538304,0.00004113597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08610999,0.0004126694,0.9100928,0.00007662272,0.00008234188,0.00003681633,0.0001037081,0.001760339,0.001324618],"genre_scores_gemma":[0.4510618,0.0003180375,0.545148,0.00005082917,0.00002647914,0.00005396401,0.0002245762,0.00006265686,0.003053662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002714996,"threshold_uncertainty_score":0.005398393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367889458286913,"score_gpt":0.2511786415226859,"score_spread":0.2374997469398167,"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."}}