{"id":"W3126500605","doi":"10.7202/1075795ar","title":"Sound Acts, Part 1: Calling Back Performance Studies","year":2021,"lang":"en","type":"article","venue":"Performance Matters","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Society for Theatre Research","keywords":"Sound (geography); Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410748,0.0008965714,0.0005740044,0.003273639,0.004864923,0.009964317,0.001682021,0.003694553,0.02242826],"category_scores_gemma":[0.01034058,0.0002879496,0.0004728076,0.003111556,0.01670177,0.007571295,0.004359281,0.003855712,0.002804588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022137,"about_ca_system_score_gemma":0.002329678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523991,"about_ca_topic_score_gemma":0.006824824,"domain_scores_codex":[0.9966701,0.001637364,0.0001679717,0.0003443442,0.0008025981,0.0003776334],"domain_scores_gemma":[0.9913461,0.006157421,0.0005108122,0.00077557,0.0006033797,0.0006067048],"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":[0.0002193185,0.0004423053,0.006025798,0.001104945,0.00003242219,0.0003405458,0.1009364,0.0003319663,0.001954373,0.711099,0.03874908,0.1387639],"study_design_scores_gemma":[0.00004713177,0.000460399,0.08009265,0.002919426,0.00007905667,0.0006363408,0.2853139,0.0007254299,0.003400287,0.1835669,0.4426557,0.0001028424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1115855,0.02895665,0.008237585,0.03254682,0.003105893,0.00013413,0.0002273571,0.000101697,0.8151044],"genre_scores_gemma":[0.8638641,0.0156772,0.002723749,0.005043109,0.003827197,0.0002173001,0.0002740494,0.0002039257,0.1081695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242826,"threshold_uncertainty_score":0.07503003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09324619662116027,"score_gpt":0.2574700566589727,"score_spread":0.1642238600378124,"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."}}