{"id":"W2950077203","doi":"10.1145/3325480.3326547","title":"Human Improvised Theatre Augmented with Artificial Intelligence","year":2019,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Improvisation; Creativity; Comedy; Computer science; Computational creativity; Visual arts; Artificial intelligence; Psychology; Art; Social psychology","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":[0.001106206,0.0006817634,0.0004245293,0.0004672162,0.001001574,0.003519763,0.001518226,0.001001867,0.02966329],"category_scores_gemma":[0.00292697,0.0003291317,0.0006348269,0.0003247509,0.001931233,0.001385112,0.004670838,0.0008834877,0.003952483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084746,"about_ca_system_score_gemma":0.0004326983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008126546,"about_ca_topic_score_gemma":0.001279058,"domain_scores_codex":[0.9989754,0.0005010243,0.00003261289,0.0001331689,0.000236407,0.0001213564],"domain_scores_gemma":[0.9986577,0.0006083882,0.00005091914,0.0003764705,0.000136498,0.0001699188],"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":[0.004187016,0.0009342015,0.003663852,0.002206895,0.0002069692,0.002553564,0.02597987,0.0395416,0.2376871,0.08941904,0.07280789,0.5208119],"study_design_scores_gemma":[0.0004739351,0.002084562,0.009691674,0.0005902529,0.0001335664,0.003056398,0.00861623,0.1810693,0.08660743,0.04109292,0.6660845,0.000499289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3156716,0.0008822231,0.4559699,0.001310288,0.0009869331,0.0006510679,0.0008817757,0.01131624,0.21233],"genre_scores_gemma":[0.7976657,0.0003000158,0.1368363,0.0002301268,0.0001618728,0.0003253037,0.001078021,0.0007160187,0.0626867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02966329,"threshold_uncertainty_score":0.09923363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778030100661616,"score_gpt":0.2719068653291393,"score_spread":0.2541265643225231,"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."}}