{"id":"W4225017016","doi":"10.3138/ctr.190.009","title":"Augmented Reality ASL for <i>11:11</i> at Theatre Passe Muraille","year":2022,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Courage; Vision; Performing arts; Visual arts; Closed captioning; Media studies; Augmented reality; Sociology; Art; Computer science; Political science; Human–computer interaction; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002206102,0.001030899,0.0004314377,0.0006672041,0.00209447,0.004819088,0.001264719,0.001268658,0.1545193],"category_scores_gemma":[0.002232131,0.0004143442,0.0007727108,0.0003556646,0.001047572,0.001893199,0.004487705,0.001937419,0.03191952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303404,"about_ca_system_score_gemma":0.001064359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006861136,"about_ca_topic_score_gemma":0.01871336,"domain_scores_codex":[0.9988,0.0003500212,0.00003008124,0.000169449,0.0004653024,0.0001850067],"domain_scores_gemma":[0.9990012,0.0001726809,0.00003538138,0.0002238741,0.0002865743,0.000280397],"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":[0.001287299,0.0002603187,0.001736498,0.000741601,0.00005435252,0.001784977,0.01762832,0.001711804,0.065942,0.05511082,0.6042382,0.2495038],"study_design_scores_gemma":[0.00003562352,0.0002360717,0.001440415,0.0001139366,0.0000104111,0.0002723148,0.001454692,0.001107109,0.004062611,0.001118549,0.9900994,0.0000488836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05857615,0.002521032,0.1505334,0.006897157,0.0073821,0.001573656,0.008060045,0.02937584,0.7350807],"genre_scores_gemma":[0.2415973,0.0009307728,0.07904853,0.001086697,0.00099655,0.001136734,0.005800595,0.004776014,0.6646269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931388,"threshold_uncertainty_score":0.5169187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881061415214078,"score_gpt":0.2733405731659362,"score_spread":0.2445299590137954,"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."}}