{"id":"W3185565933","doi":"10.3390/electronics10151769","title":"A Novel Emotion-Aware Hybrid Music Recommendation Method Using Deep Neural Network","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"National Natural Science Foundation of China","keywords":"Metadata; Computer science; Recall; Baseline (sea); Artificial neural network; Event (particle physics); Emotion detection; Emotion classification; Artificial intelligence; Precision and recall; Representation (politics); Emotion recognition; Machine learning; Cognitive psychology; Psychology; World Wide Web","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":[0.0003949211,0.001029894,0.0009743469,0.0008666426,0.0003801867,0.0005479742,0.001298963,0.001090243,0.001875538],"category_scores_gemma":[0.0008406646,0.0004203167,0.0009925753,0.0007076946,0.0001582179,0.0008657595,0.0005152758,0.0008686876,0.00100641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709391,"about_ca_system_score_gemma":0.0004804602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222011,"about_ca_topic_score_gemma":0.02188771,"domain_scores_codex":[0.9996829,0.00003223599,0.00002441217,0.0001145721,0.00009180886,0.00005411885],"domain_scores_gemma":[0.9997804,0.00004596794,0.00002066382,0.00002631096,0.0001063598,0.00002046003],"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":[0.0004415542,0.0003772938,0.004722255,0.0001711168,0.0003202457,0.0002658959,0.0001019219,0.09756455,0.03943326,0.00133056,0.009581459,0.8456899],"study_design_scores_gemma":[0.00002695947,0.00006155298,0.001006218,0.000008169447,0.00005429084,0.00008040004,0.00001792191,0.993367,0.003818323,0.0005337129,0.001009308,0.00001608071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07804884,0.002083316,0.9097417,0.0004668136,0.0003174884,0.0001319318,0.0004561914,0.003626219,0.005127516],"genre_scores_gemma":[0.5972059,0.001034871,0.3767076,0.0009010828,0.0002949763,0.000187142,0.001540025,0.0001935916,0.0219349],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01222011,"threshold_uncertainty_score":0.02429795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353885114949517,"score_gpt":0.2874931589578877,"score_spread":0.252104647462936,"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."}}