{"id":"W2605304276","doi":"10.3138/ctr.170.019","title":"Learning through Theatre","year":2017,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Theatre and Performance Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drama; Snapshot (computer storage); Conversation; Visual arts; Theatre studies; Art; Sociology; Variety (cybernetics); Computer science; Communication; Artificial intelligence","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":[0.002102401,0.0005544205,0.0004761506,0.002747863,0.005270593,0.007770717,0.001276811,0.001526407,0.02100541],"category_scores_gemma":[0.004012179,0.0002099443,0.0003503937,0.003092094,0.006973705,0.003684832,0.002194963,0.002763519,0.003753076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02177107,"about_ca_system_score_gemma":0.03383068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4774746,"about_ca_topic_score_gemma":0.6803185,"domain_scores_codex":[0.9974898,0.0005787464,0.00007895256,0.0001644717,0.001231446,0.0004565545],"domain_scores_gemma":[0.9981523,0.0005859569,0.0001139915,0.0001087745,0.0006610107,0.000377979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003995658,0.00002596297,0.000341448,0.001334072,0.00001383657,0.0001095762,0.006208269,0.0001760867,0.0002593212,0.1050072,0.5568922,0.329592],"study_design_scores_gemma":[0.000001986038,0.000005561977,0.0005172956,0.0006686669,0.000002845498,0.00007110205,0.00165506,0.00001221505,0.00005997714,0.00170893,0.9952915,0.000004956823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002771034,0.5421162,0.001597877,0.04452353,0.007501313,0.00005336432,0.0003577364,0.0001747594,0.4009041],"genre_scores_gemma":[0.0831834,0.5122495,0.002395887,0.01827867,0.002667342,0.0001215088,0.0005379568,0.0001916877,0.380374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4774746,"threshold_uncertainty_score":0.9493908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663415203690836,"score_gpt":0.2684528645549888,"score_spread":0.2218187125180804,"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."}}