{"id":"W3206656558","doi":"10.1145/3478384.3478404","title":"Subjective and Objective Evaluation of Procedurally-Generated Audio for Soft-Body Interactions","year":2021,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Sound quality; Quality (philosophy); Measure (data warehouse); Perception; Task (project management); Focus (optics); Synchronization (alternating current); Sound (geography); Human–computer interaction; Speech recognition; Acoustics; Data mining; Telecommunications","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":[0.003452199,0.000996857,0.0004305663,0.0008670565,0.0002638678,0.001156526,0.0005091485,0.000827309,0.005122072],"category_scores_gemma":[0.02253769,0.000161674,0.0003556196,0.0002877777,0.0007970125,0.0009524294,0.001180506,0.0006238266,0.0006486746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337268,"about_ca_system_score_gemma":0.0003164269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785054,"about_ca_topic_score_gemma":0.0009630297,"domain_scores_codex":[0.9967057,0.001335216,0.0002071267,0.0003571239,0.001262681,0.0001322651],"domain_scores_gemma":[0.9789693,0.015088,0.001516112,0.001022435,0.002554383,0.000849822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004877223,0.001600678,0.0286305,0.004600543,0.0005764777,0.0008233348,0.002122178,0.191764,0.37608,0.005637574,0.008335059,0.3749526],"study_design_scores_gemma":[0.0004567524,0.01043289,0.1033767,0.0008322972,0.000648206,0.001890442,0.002445835,0.6190027,0.2282296,0.01120667,0.02092535,0.000552505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6244012,0.002178311,0.3510469,0.0003718699,0.0005086578,0.0006408878,0.00105082,0.001149916,0.01865138],"genre_scores_gemma":[0.9389651,0.0003837304,0.05552434,0.0002066816,0.00009847561,0.0002349001,0.000895639,0.000269751,0.003421398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005122072,"threshold_uncertainty_score":0.0182572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383553540662524,"score_gpt":0.3172595068409674,"score_spread":0.278904152774715,"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."}}