{"id":"W4403423304","doi":"10.1145/3677084","title":"Juicy Audio: Audio Designers' Conceptualization of the Term in Video Games","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya","keywords":"Conceptualization; Term (time); Multimedia; Computer science; Audio visual; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00557596,0.0006725028,0.0002605136,0.002082939,0.00330485,0.006456512,0.001166941,0.001823738,0.00202067],"category_scores_gemma":[0.009608876,0.0004390305,0.0002996372,0.0008536397,0.01521373,0.006953057,0.00508811,0.002804483,0.0001630226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388033,"about_ca_system_score_gemma":0.002249527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329403,"about_ca_topic_score_gemma":0.004588949,"domain_scores_codex":[0.9955581,0.003387834,0.0001200971,0.0002609721,0.0004171115,0.000255752],"domain_scores_gemma":[0.9954736,0.003231872,0.0003535441,0.0002444181,0.0003243737,0.0003723367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001034908,0.00005037823,0.003011754,0.0002959747,0.000009576273,0.0003940911,0.7850115,0.0005745506,0.006118391,0.1846756,0.001476892,0.0182777],"study_design_scores_gemma":[0.0000669964,0.0002951182,0.009426601,0.001166835,0.00004869218,0.002687999,0.6866831,0.006050979,0.003332097,0.07775524,0.2123543,0.0001320083],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.605215,0.0034689,0.2321992,0.01115826,0.0005224291,0.0005982866,0.0001249147,0.0002584137,0.1464545],"genre_scores_gemma":[0.9767317,0.0003719027,0.01806706,0.0005538624,0.00003084368,0.0001970092,0.0000206452,0.00005380573,0.003973292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006456512,"threshold_uncertainty_score":0.0294888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007571829575204,"score_gpt":0.3095843645778465,"score_spread":0.2695086462820945,"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."}}