{"id":"W2397446113","doi":"","title":"OUNK - AN AUDIO SCRIPTING ENVIRONMENT FOR SIGNAL PROCESSING AND MUSIC COMPOSITION","year":2009,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Scripting language; Computer science; Audio signal processing; Composition (language); Digital audio; Signal processing; SIGNAL (programming language); Multimedia; Human–computer interaction; Audio signal; Speech recognition; Digital signal processing; Speech coding; Programming language; Computer hardware; Art","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":[0.001814445,0.0000748952,0.0001342311,0.00004031287,0.0007421354,0.00008668905,0.0004379,0.00006705019,0.000001036588],"category_scores_gemma":[0.00005466246,0.00004422203,0.00005427196,0.0000959694,0.00003319394,0.0004229162,0.00006725468,0.0002017891,5.788223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193188,"about_ca_system_score_gemma":0.000031155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002048364,"about_ca_topic_score_gemma":0.000004767377,"domain_scores_codex":[0.9991171,0.0001534263,0.0002519235,0.00008003421,0.0002571983,0.0001403065],"domain_scores_gemma":[0.9988771,0.0001447636,0.0007400642,0.0001301344,0.00008604392,0.00002187314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002266459,0.0006381989,0.009854171,0.0000415287,0.0003189337,0.00000377942,0.04616244,0.003900965,0.04424653,0.01206152,0.008554231,0.8739911],"study_design_scores_gemma":[0.004077543,0.002692071,0.6030593,0.0003879179,0.0005851031,0.0002429351,0.002127114,0.1246542,0.005577077,0.2423186,0.01357653,0.0007016531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619209,0.000569735,0.2186915,0.01812622,0.0002826404,0.0002648415,0.000001346552,0.00003564739,0.0001071882],"genre_scores_gemma":[0.991691,0.00002964737,0.007130677,0.0008597026,0.0002036264,0.000001799328,2.417869e-7,0.000002843,0.0000804655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8732894,"threshold_uncertainty_score":0.570798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547597171988955,"score_gpt":0.2334462677660991,"score_spread":0.2179702960462095,"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."}}