{"id":"W1985714421","doi":"10.1145/1176617.1176694","title":"Flexible event scheduling for data-flow audio processing","year":2006,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scheduling (production processes); Limiting; Audio signal processing; Extensibility; Software; Real-time computing; Distributed computing; Audio signal; Operating system; Speech recognition; Speech coding","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992421,0.0001247552,0.0001387079,0.0000588308,0.0003073251,0.0004399359,0.001104178,0.0000434662,0.00001789399],"category_scores_gemma":[0.00002816822,0.0001049285,0.00003724489,0.0002775193,0.00002507002,0.001253436,0.0003662021,0.00006857223,0.00002208531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002449794,"about_ca_system_score_gemma":0.0001881408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002729709,"about_ca_topic_score_gemma":0.000009512135,"domain_scores_codex":[0.9986712,0.00001002825,0.0002461126,0.0005216117,0.0002100376,0.0003410272],"domain_scores_gemma":[0.9991323,0.00003784145,0.0001016832,0.0005866126,0.00009155803,0.0000500176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006337841,0.000116886,0.0002830335,0.000220438,0.000008566553,0.000004172657,0.0001389218,0.008583213,0.001897075,0.0269888,0.02780601,0.9339465],"study_design_scores_gemma":[0.0002691872,0.00001475901,0.00008445488,0.00005992532,0.000006032955,0.000007386825,0.00001054158,0.9452983,0.007288156,0.009161931,0.03761038,0.0001889779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006398821,0.0004975943,0.9895225,0.001768646,0.0001879284,0.0001427453,0.000002388308,0.0003510737,0.006887262],"genre_scores_gemma":[0.1960527,0.000001598016,0.8000878,0.000899693,0.0003285469,0.00001520518,0.00002315113,0.00001082133,0.002580514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9367151,"threshold_uncertainty_score":0.4278859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585918891111128,"score_gpt":0.302047029139515,"score_spread":0.2561878402284037,"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."}}