{"id":"W2990911923","doi":"10.1007/978-3-030-01426-1_12-1","title":"Angry Noise","year":2019,"lang":"en","type":"book-chapter","venue":"Springer international handbooks of education","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Noise (video); Computer science; Acoustics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071442,0.000183853,0.0002229427,0.0003354339,0.00004664122,0.00003726643,0.00101569,0.0002181178,0.0002266664],"category_scores_gemma":[0.0000272212,0.0001877554,0.0001270897,0.000019718,0.00009222458,0.0001617727,0.0003358412,0.0002265214,0.0002185396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009628767,"about_ca_system_score_gemma":0.0003690533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314865,"about_ca_topic_score_gemma":0.000009514397,"domain_scores_codex":[0.9989319,0.000004150656,0.0002986616,0.0003544378,0.0003032379,0.0001075721],"domain_scores_gemma":[0.9987312,0.00004632336,0.0003125397,0.0005575805,0.0003237767,0.00002861049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004491379,0.00003275419,0.0002196717,0.00002519156,0.0001072478,7.014327e-7,0.0002689041,0.000001254049,0.00007933149,0.9586224,0.009137383,0.03150066],"study_design_scores_gemma":[0.0001786118,0.00005020438,0.001321835,0.0004621194,0.00002569887,0.000009850458,0.00001920867,0.00006492134,0.0007377535,0.1654012,0.8314068,0.0003218742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005520573,0.001312002,0.007023907,0.0008934326,0.006325554,0.000187846,0.00001238273,0.00009463685,0.9835982],"genre_scores_gemma":[0.05330306,0.0002562811,0.005404512,0.0003329738,0.0003780788,0.00001633687,0.00002599267,0.00002091499,0.9402618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8222694,"threshold_uncertainty_score":0.7656443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780348305247052,"score_gpt":0.2590662303020222,"score_spread":0.2412627472495517,"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."}}