{"id":"W2143444952","doi":"10.1109/icnn.1997.611645","title":"A comparison of backpropagation and statistical classifiers for bird identification","year":2002,"lang":"en","type":"article","venue":"Proceedings of International Conference on Neural Networks (ICNN'97)","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Backpropagation; Artificial intelligence; Pattern recognition (psychology); Preprocessor; Computer science; Artificial neural network; Dimensionality reduction; Linear discriminant analysis; Perceptron; Quadratic classifier; Generalization; Multilayer perceptron; Multivariate statistics; Coding (social sciences); Speech recognition; Machine learning; Mathematics; Statistics; Classifier (UML)","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":[0.006898168,0.001215405,0.0008503023,0.002381818,0.0004113337,0.0009589933,0.000942066,0.001305356,0.001106753],"category_scores_gemma":[0.01499344,0.0003666152,0.0005644043,0.0011707,0.0004160294,0.002271526,0.0005869715,0.0008056613,0.0006301804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009414285,"about_ca_system_score_gemma":0.000961484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00522754,"about_ca_topic_score_gemma":0.004519599,"domain_scores_codex":[0.9979959,0.0007573855,0.0001479686,0.000165935,0.0008223083,0.0001105571],"domain_scores_gemma":[0.988882,0.008118936,0.0003250453,0.000423993,0.002114101,0.0001359409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009966537,0.0002310421,0.006848451,0.0002364571,0.0004296918,0.00004724426,0.00006855681,0.2174712,0.002357684,0.003476193,0.00239241,0.7654444],"study_design_scores_gemma":[0.00003768322,0.0001578967,0.001643904,0.00003336228,0.00004349216,0.00003486229,0.00002002845,0.9934118,0.001751028,0.002115755,0.0007332705,0.0000168431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678556,0.007829038,0.8099248,0.001622396,0.0004736535,0.0002427417,0.0002723885,0.003895008,0.007884392],"genre_scores_gemma":[0.6976787,0.003760078,0.2919573,0.0004880858,0.0002928291,0.0002945121,0.0005316709,0.000263275,0.004733562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006898168,"threshold_uncertainty_score":0.03648144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185018997450241,"score_gpt":0.3555483806049217,"score_spread":0.2370464808598976,"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."}}