{"id":"W4281718209","doi":"10.7202/1089675ar","title":"\"Revolutions in Sound\": Keynote Duet","year":2022,"lang":"en","type":"article","venue":"Performance Matters","topic":"Diverse Musicological Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sound (geography); Acoustics; Speech recognition; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001122373,0.00007944073,0.0001053052,0.00008138356,0.0007407769,0.00007953805,0.000154354,0.000006974982,0.01302818],"category_scores_gemma":[0.000004056473,0.00007190923,0.00003554748,0.00005510388,0.0001602971,0.0001348745,0.0002289267,0.000150372,0.000372147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317558,"about_ca_system_score_gemma":0.000007461389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001664001,"about_ca_topic_score_gemma":0.0001720958,"domain_scores_codex":[0.9993449,0.00002376461,0.0001239275,0.0001283305,0.0001517983,0.0002272412],"domain_scores_gemma":[0.9998198,0.00002315651,0.00003403271,0.00009108305,0.0000121049,0.00001988418],"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":[0.0001497102,0.000509948,0.1317219,0.0001269644,0.00009664261,0.00005067649,0.1364908,0.006804258,0.00003470975,0.2196953,0.4995658,0.004753346],"study_design_scores_gemma":[0.0002618454,0.00008451933,0.01499053,0.000004514092,0.000006346253,0.000001887072,0.007401396,0.0003784379,0.000001090963,0.0005806793,0.9761456,0.0001431302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264238,0.00005131299,0.000002290515,0.00408051,0.0006765883,0.0001120035,0.00002905911,0.00006218984,0.0685622],"genre_scores_gemma":[0.9885921,0.000007823383,0.00001078469,0.005367978,0.00009625955,0.0001156608,0.000007416281,0.000006756226,0.005795237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4765798,"threshold_uncertainty_score":0.987874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735469445608715,"score_gpt":0.209550500884886,"score_spread":0.1360035563240145,"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."}}