{"id":"W4393603689","doi":"10.5281/zenodo.5257995","title":"EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Piano; Modal; Emotion recognition; Speech recognition; Psychology; Music and emotion; Computer science; Communication; Cognitive psychology; Art; Music history; Music education; Art history; Chemistry","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":[0.0004820519,0.003228345,0.001053137,0.001937965,0.001041693,0.001134703,0.002122138,0.001932806,0.0180145],"category_scores_gemma":[0.001769924,0.0003710034,0.001574594,0.001735523,0.0003406292,0.001041169,0.002103218,0.00150242,0.02361509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007292152,"about_ca_system_score_gemma":0.0006499311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061003,"about_ca_topic_score_gemma":0.03046081,"domain_scores_codex":[0.9992579,0.0001068974,0.00007618775,0.0002430514,0.0002054213,0.0001105719],"domain_scores_gemma":[0.9995999,0.00007995112,0.00002988401,0.00009840845,0.0001247183,0.00006717206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000972375,0.0003180837,0.003609468,0.001562212,0.000148901,0.0005128079,0.0002122065,0.0009792227,0.008009963,0.0005409765,0.9239603,0.05917347],"study_design_scores_gemma":[0.00101767,0.0006061847,0.07095477,0.0007630073,0.0002937698,0.002093367,0.001280258,0.02691754,0.01634726,0.003037899,0.8763655,0.0003226865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02642163,0.002116248,0.00611242,0.0004285646,0.0006392046,0.0006436665,0.9411104,0.01113338,0.01139461],"genre_scores_gemma":[0.01096213,0.0002834086,0.006457892,0.0001743146,0.00006856447,0.000716485,0.9773197,0.0003065722,0.003710844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0180145,"threshold_uncertainty_score":0.06026447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111799533420325,"score_gpt":0.2720658642168722,"score_spread":0.1608859108748397,"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."}}