{"id":"W4253430274","doi":"10.4324/9781315680460","title":"Music at the Edge","year":2016,"lang":"en","type":"book","venue":"","topic":"Diverse Musicological Studies","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Art; Computer science; 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":[0.000288047,0.0006879931,0.0004473487,0.001161606,0.003002872,0.006321624,0.0006295132,0.001580455,0.09239473],"category_scores_gemma":[0.001302753,0.000280979,0.0003799535,0.0008716713,0.001909964,0.005353108,0.003290013,0.003848839,0.03517573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533574,"about_ca_system_score_gemma":0.001532157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916973,"about_ca_topic_score_gemma":0.005059096,"domain_scores_codex":[0.9994715,0.00008165402,0.00001580223,0.00006905042,0.0002967357,0.00006518506],"domain_scores_gemma":[0.9996623,0.00008847524,0.00001608372,0.00004268801,0.00009340963,0.00009704889],"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":[0.000052375,0.0000458567,0.0001654366,0.0003383876,0.000005665121,0.0002827752,0.003494879,0.0001119979,0.001507814,0.1289525,0.6680148,0.1970277],"study_design_scores_gemma":[0.000002029377,0.000007594435,0.0001055315,0.000135798,0.000001396372,0.0001773878,0.0003519806,0.00002291723,0.0001135752,0.003428241,0.9956501,0.0000034352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001125723,0.01484796,0.001268214,0.004060827,0.007734489,0.00002768099,0.00007063318,0.0002125838,0.9706518],"genre_scores_gemma":[0.005025691,0.005420831,0.0005899413,0.001799481,0.001275752,0.00001663937,0.0000508836,0.0001413057,0.9856794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09239473,"threshold_uncertainty_score":0.3090912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686456993290117,"score_gpt":0.2109888394792048,"score_spread":0.04234314015019311,"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."}}