{"id":"W2111408558","doi":"10.1016/j.jphysparis.2008.10.001","title":"Multivariate classification of animal communication signals: A simulation-based comparison of alternative signal processing procedures using electric fishes","year":2008,"lang":"en","type":"article","venue":"Journal of Physiology-Paris","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"","keywords":"Digital signal processing; Computer science; Signal processing; Multidimensional signal processing; Pattern recognition (psychology); SIGNAL (programming language); Discrete wavelet transform; Wavelet; Artificial intelligence; Wavelet transform","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003670875,0.0004817143,0.0004905763,0.0006934604,0.0003177932,0.0007955339,0.0005496612,0.0005893122,0.001000097],"category_scores_gemma":[0.01195667,0.0002096421,0.0007918838,0.0004751798,0.0003343717,0.000764462,0.000501309,0.0007153566,0.0001751156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708955,"about_ca_system_score_gemma":0.0007872922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005923216,"about_ca_topic_score_gemma":0.004164265,"domain_scores_codex":[0.9993328,0.0003821853,0.00004761159,0.00008102742,0.000091826,0.00006437425],"domain_scores_gemma":[0.9895148,0.008640756,0.0003132238,0.000406503,0.0009883578,0.0001363024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008339616,0.00125422,0.03366948,0.0002925754,0.0005253681,0.0000737695,0.0005545861,0.5820842,0.04283214,0.002897048,0.001049458,0.3264275],"study_design_scores_gemma":[0.0000584121,0.0003097672,0.01025875,0.000006835736,0.00005267697,0.00002498759,0.00004650877,0.9850529,0.003521505,0.00054594,0.00009437469,0.00002735038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011412,0.00008890987,0.09780154,0.0001089499,0.00003165566,0.00004037449,0.00007848117,0.0002357492,0.0004730712],"genre_scores_gemma":[0.9651742,0.00006300244,0.03416926,0.00002003761,0.000009846549,0.00004312731,0.0001732626,0.00006187851,0.0002853535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005923216,"threshold_uncertainty_score":0.01941365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07003306371939352,"score_gpt":0.34226575733819,"score_spread":0.2722326936187964,"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."}}