{"id":"W1579748941","doi":"10.5281/zenodo.1416651","title":"A Large Publicly Accassible Prototype Audio Database For Music Research.","year":2006,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Metadata; Information retrieval; Music information retrieval; Database; Software; Feature (linguistics); Feature extraction; World Wide Web; Musical; Artificial intelligence","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":[0.002416968,0.001544812,0.001595052,0.006694204,0.001041333,0.002393587,0.003755926,0.001933724,0.04191786],"category_scores_gemma":[0.008887121,0.0006900728,0.0008441238,0.007547748,0.0003199726,0.002696753,0.00239259,0.00139517,0.05406416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000508103,"about_ca_system_score_gemma":0.002505409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004468702,"about_ca_topic_score_gemma":0.007074452,"domain_scores_codex":[0.9984175,0.0002345796,0.0002543447,0.0003612466,0.0005866623,0.0001456908],"domain_scores_gemma":[0.9938378,0.001288663,0.0003517657,0.002007627,0.001615853,0.0008982733],"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":[0.001927745,0.0003154925,0.002668784,0.001945632,0.0001180829,0.0004689262,0.0001241541,0.001133427,0.02366944,0.001907256,0.8233145,0.1424065],"study_design_scores_gemma":[0.001341969,0.0003870879,0.01691033,0.0003093882,0.0002947308,0.001183284,0.0003710836,0.01208328,0.02830032,0.006528789,0.9320669,0.0002227864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01100127,0.003036081,0.06020762,0.001038333,0.001050456,0.0007304189,0.8197498,0.08502377,0.01816218],"genre_scores_gemma":[0.01664101,0.0006935368,0.05335532,0.0002139562,0.0002328893,0.0004828431,0.9214025,0.001512624,0.005465392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04191786,"threshold_uncertainty_score":0.1402292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08058208978813139,"score_gpt":0.2882420675357547,"score_spread":0.2076599777476233,"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."}}