{"id":"W2396358321","doi":"10.5281/zenodo.1178505","title":"Reactive Environment For Network Music Performance","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Human–computer interaction; Panning (audio); Realization (probability); Space (punctuation); Musical; Multimedia; Field (mathematics); Control (management); Task (project management); Artificial intelligence; Engineering; Systems engineering","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":[0.001088711,0.0008032316,0.0002698723,0.0002667969,0.0007704455,0.001551065,0.001917785,0.0008629786,0.01356888],"category_scores_gemma":[0.00191507,0.0002995098,0.0004231514,0.0001927605,0.0008479604,0.001216591,0.003828488,0.000911822,0.002109012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003722588,"about_ca_system_score_gemma":0.0005106907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006783327,"about_ca_topic_score_gemma":0.0008191344,"domain_scores_codex":[0.9988901,0.0004201142,0.00004542841,0.0001440037,0.0004073736,0.00009290605],"domain_scores_gemma":[0.9992435,0.0003107329,0.00005405246,0.0001763667,0.00008967792,0.0001256769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001497387,0.0007799244,0.001783149,0.001039229,0.0001010973,0.001629226,0.009727037,0.07253129,0.3713408,0.1754808,0.03703436,0.3270557],"study_design_scores_gemma":[0.0004387198,0.001038995,0.003131098,0.000218847,0.00009883555,0.001335222,0.001460793,0.2744039,0.06667502,0.05419206,0.5967216,0.0002850469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03585308,0.0003192314,0.9198912,0.0004725866,0.0002056466,0.0003382991,0.000188683,0.008228399,0.03450277],"genre_scores_gemma":[0.5235697,0.0005767304,0.4286088,0.0004718602,0.0001650151,0.001237469,0.0006160677,0.001461191,0.04329316],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01356888,"threshold_uncertainty_score":0.04539239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694466442832927,"score_gpt":0.210553783536696,"score_spread":0.1836091191083667,"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."}}