{"id":"W1486784069","doi":"","title":"Flexible Control of Composite Parameters in Max/MSP","year":2008,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Control (management); Computer music; Work (physics); Order (exchange); Musical; Industrial engineering; Human–computer interaction; Artificial intelligence; Mechanical engineering; Engineering; Visual arts","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":[0.0008777676,0.0006438328,0.0004479702,0.0003475467,0.0005232208,0.00187073,0.001668027,0.0006653456,0.008744248],"category_scores_gemma":[0.002234443,0.0004686599,0.0002876713,0.0003455145,0.0009210334,0.00227929,0.001330826,0.0009903621,0.001933688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960808,"about_ca_system_score_gemma":0.0004230598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000867816,"about_ca_topic_score_gemma":0.001498175,"domain_scores_codex":[0.9992287,0.0001227364,0.00008108708,0.0001480874,0.000321754,0.00009760841],"domain_scores_gemma":[0.9991863,0.0002977431,0.00006745961,0.0002759717,0.0001223612,0.0000502156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003312146,0.0003556171,0.003925255,0.0005997878,0.00008863068,0.0008372679,0.002804916,0.09850456,0.2649715,0.2421796,0.01758536,0.3648354],"study_design_scores_gemma":[0.0002447144,0.0004469916,0.001351789,0.0001011759,0.00006491433,0.0007111253,0.0002007724,0.4930987,0.220327,0.07318985,0.2101065,0.0001564397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08938076,0.0003386224,0.8532984,0.0002246746,0.0001520871,0.0002419441,0.0003392721,0.01868898,0.03733534],"genre_scores_gemma":[0.7279679,0.0001840311,0.2487553,0.0002320258,0.0000694188,0.0003488711,0.0002640456,0.002300237,0.01987812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008744248,"threshold_uncertainty_score":0.02925241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04531531091431079,"score_gpt":0.2646224801864446,"score_spread":0.2193071692721338,"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."}}