{"id":"W138032095","doi":"10.1609/aiide.v5i1.12371","title":"Supporting Dialogue Generation for Story-Based Games","year":2009,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Immersion (mathematics); Character (mathematics); Game design; Human–computer interaction; Multimedia; Artificial intelligence; Mathematics","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":[0.001598672,0.0008950589,0.000438239,0.0005487799,0.0006441535,0.001862762,0.001446627,0.001085284,0.004964367],"category_scores_gemma":[0.008970414,0.0004646535,0.0005145234,0.0002474609,0.0006985982,0.002453853,0.002621779,0.001068215,0.001647748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467078,"about_ca_system_score_gemma":0.000406213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005460688,"about_ca_topic_score_gemma":0.0007024655,"domain_scores_codex":[0.9984514,0.0008723645,0.00009877076,0.0002028224,0.0002645341,0.0001100894],"domain_scores_gemma":[0.996541,0.002520504,0.0001660851,0.0002983384,0.0002452169,0.0002288814],"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":[0.001895296,0.001365338,0.0061305,0.001669936,0.0002260819,0.002071848,0.01580949,0.1120005,0.1405718,0.1205239,0.0202535,0.5774819],"study_design_scores_gemma":[0.0001500725,0.0002459761,0.0009400683,0.0001167327,0.00005373357,0.0005213395,0.0009457482,0.8514045,0.03232569,0.05272609,0.0605017,0.00006829225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03795336,0.0002508951,0.9493138,0.0002044946,0.00006717494,0.0002176257,0.0001241454,0.006095818,0.005772695],"genre_scores_gemma":[0.6456508,0.0002199842,0.3493297,0.0001303538,0.00006321762,0.0004090999,0.0006239641,0.0005787788,0.002994136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004964367,"threshold_uncertainty_score":0.01660752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063535911672882,"score_gpt":0.3121580908982636,"score_spread":0.2486221792253816,"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."}}