{"id":"W2031815282","doi":"10.4018/jcini.2008070102","title":"Artificial Neural Networks that Classify Musical Chords","year":2008,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Music and Audio Processing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial neural network; Representation (politics); Artificial intelligence; Musical; Layer (electronics); Pattern recognition (psychology)","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":[0.0007164615,0.0005814612,0.0003094545,0.0006847992,0.0002940665,0.00114983,0.0006242816,0.0008328552,0.001817814],"category_scores_gemma":[0.005118076,0.0002803555,0.0003595412,0.0006875251,0.0004943318,0.001380507,0.0004329537,0.001031213,0.0005045651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706684,"about_ca_system_score_gemma":0.000367897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510424,"about_ca_topic_score_gemma":0.00349777,"domain_scores_codex":[0.999663,0.00006459234,0.00002399516,0.0001239241,0.0000744519,0.00005011399],"domain_scores_gemma":[0.9991394,0.0004622309,0.00009358845,0.00007452782,0.0001988184,0.00003142276],"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":[0.00040721,0.000269117,0.01181226,0.0002204133,0.0002015067,0.0001982913,0.0003731691,0.5054706,0.02963456,0.0190025,0.004735834,0.4276744],"study_design_scores_gemma":[0.00002191269,0.00004204822,0.001793991,0.00003669733,0.00002522991,0.00003370033,0.00004978354,0.9817533,0.003488649,0.01131436,0.001424847,0.00001552556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4171893,0.001964886,0.5544969,0.001625787,0.0005206713,0.0002365212,0.0004677815,0.001674079,0.02182418],"genre_scores_gemma":[0.8421361,0.0006518824,0.1507049,0.0002516656,0.00008000268,0.0001079239,0.0005660013,0.00005229405,0.005449248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003510424,"threshold_uncertainty_score":0.006979942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04276362837291164,"score_gpt":0.297230405226096,"score_spread":0.2544667768531843,"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."}}