{"id":"W2122566864","doi":"10.1109/ccece.1997.614790","title":"Bird song identification using artificial neural networks and statistical analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial neural network; Identification (biology); Artificial intelligence; Computer science; Linear discriminant analysis; Backpropagation; Pattern recognition (psychology); Curse of dimensionality; Statistical analysis; Quadratic classifier; Speech recognition; Support vector machine; Mathematics; Statistics","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":[0.00007984769,0.00006733885,0.00007947459,0.00003692407,0.00009978894,0.00004909122,0.00007758942,0.00006886075,0.0001589527],"category_scores_gemma":[0.0000210244,0.00006262043,0.00004218308,0.0001423123,0.0000722385,0.000003365044,0.00006132314,0.00004187871,0.00000823174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000452244,"about_ca_system_score_gemma":0.000002319474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005382093,"about_ca_topic_score_gemma":0.0001870758,"domain_scores_codex":[0.9994377,0.00005134108,0.000163938,0.0001788568,0.00005918122,0.0001089974],"domain_scores_gemma":[0.999648,0.000009026656,0.00004055563,0.0002064507,0.00003820395,0.0000577116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000133399,0.0004504377,0.1808765,0.00001049212,0.0003770919,0.000006092384,0.00006307987,0.00553779,0.7269491,0.008523569,0.000910742,0.07616172],"study_design_scores_gemma":[0.0001016225,0.00009353763,0.09476133,7.967577e-7,0.0002963362,0.000006028147,0.00007820862,0.9013293,0.002828944,0.00003422295,0.0002932849,0.0001763614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7559506,0.0001934392,0.243597,0.00008407946,0.00002164504,0.00004876891,0.000003018166,0.0000249754,0.00007643904],"genre_scores_gemma":[0.9983281,0.00004519286,0.001312572,0.0001129389,0.00005256512,0.000002912765,0.00002781964,0.00001166826,0.000106227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8957915,"threshold_uncertainty_score":0.2553587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05925913278067223,"score_gpt":0.3152028266795786,"score_spread":0.2559436938989064,"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."}}