{"id":"W4380925595","doi":"10.3138/ctr.129.008","title":"Intelligent Instruments for Situated Media Performance","year":2007,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situated; Frame (networking); Work (physics); Multimedia; Computer science; Human–computer interaction; Engineering; Visual arts; Art; Artificial intelligence; Telecommunications; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770812,0.0004966261,0.0004489372,0.001887879,0.001417182,0.005753595,0.00118484,0.001940179,0.01266674],"category_scores_gemma":[0.002650042,0.0002388291,0.0002865862,0.001788744,0.003943102,0.004272941,0.002212304,0.001154323,0.003661121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571936,"about_ca_system_score_gemma":0.002913113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008655337,"about_ca_topic_score_gemma":0.01223894,"domain_scores_codex":[0.9986248,0.0003777762,0.00008774514,0.0001387655,0.0006437575,0.0001270855],"domain_scores_gemma":[0.9990926,0.0003526869,0.0001083901,0.0001395509,0.0002354023,0.00007152022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006289611,0.00002934715,0.000323569,0.001619155,0.00002011692,0.0001974575,0.001271658,0.0007334544,0.002086688,0.5320117,0.02512071,0.4365233],"study_design_scores_gemma":[0.000015163,0.00004207293,0.0006990215,0.0007279075,0.00001789653,0.0003353844,0.00067882,0.000402074,0.001192934,0.05774957,0.9381177,0.0000213735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00573576,0.4374618,0.04033327,0.007304458,0.001446198,0.0001325803,0.00008473275,0.000427723,0.5070735],"genre_scores_gemma":[0.2970347,0.4073935,0.05801696,0.002828898,0.001564876,0.0003471507,0.0001907682,0.0001905204,0.2324326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01266674,"threshold_uncertainty_score":0.04237443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749300609860524,"score_gpt":0.2563281973115696,"score_spread":0.2288351912129644,"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."}}