{"id":"W2057855075","doi":"10.2304/elea.2009.6.3.272","title":"Theatre of the Mind: A Project to Animate the Language of Thought and Communication","year":2009,"lang":"en","type":"article","venue":"E-Learning and Digital Media","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Constructive; Human language; Human communication; Consistency (knowledge bases); Visualization; Simple (philosophy); Cognitive science; Linguistics; Psychology; Artificial intelligence; Epistemology; Programming language; Communication; Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001212946,0.0000470743,0.00007642647,0.00001815008,0.0000811967,0.00005498174,0.00018853,0.00001385244,0.000001198737],"category_scores_gemma":[0.0003062913,0.0000241704,0.00001761493,0.000130239,0.0000489966,0.00005971909,0.0001660559,0.00005720275,7.306625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000263041,"about_ca_system_score_gemma":0.000008316157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003416283,"about_ca_topic_score_gemma":0.000005369226,"domain_scores_codex":[0.9996276,0.00003296541,0.00008974931,0.00008276558,0.00009862783,0.00006830531],"domain_scores_gemma":[0.9995186,0.0001906868,0.0000599179,0.0001854418,0.00002924953,0.00001614097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003893018,0.00007199238,0.003436446,0.00003372904,0.00002875926,0.000004777902,0.2088073,0.000009196331,0.001268323,0.01720042,0.0005895794,0.7685105],"study_design_scores_gemma":[0.004830363,0.005101329,0.5680015,0.002947626,0.0002621647,0.0003388177,0.2678546,0.01537554,0.02716575,0.02192102,0.08421765,0.001983654],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741804,0.003579494,0.0005913028,0.001429039,0.00005997104,0.0001763859,0.00000732901,0.00002292665,0.01995318],"genre_scores_gemma":[0.9986117,0.00003227071,0.00112969,0.0001027024,0.00002831274,0.000001452501,0.000001331627,0.000001716127,0.00009075646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7665269,"threshold_uncertainty_score":0.09856403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007196769889612722,"score_gpt":0.2483966771492047,"score_spread":0.241199907259592,"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."}}