{"id":"W4385734098","doi":"10.18653/v1/2023.nlp4convai-1.11","title":"Generating Video Game Scripts with Style","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ubisoft (Canada)","funders":"","keywords":"Sass; Computer science; Scripting language; Character (mathematics); Style (visual arts); Video game; Focus (optics); Dialog box; Quality (philosophy); Artificial intelligence; Natural language processing; Multimedia; World Wide Web; Programming language","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":[0.0005866446,0.001425117,0.0004210008,0.000767065,0.0002829743,0.0009343628,0.001158134,0.0006252814,0.003028143],"category_scores_gemma":[0.003950338,0.000319168,0.0008764351,0.0005447284,0.0003143121,0.001101195,0.00064671,0.0007889983,0.00288486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609337,"about_ca_system_score_gemma":0.000482312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807123,"about_ca_topic_score_gemma":0.007130082,"domain_scores_codex":[0.999408,0.0001761979,0.00004180982,0.0002453766,0.00009524518,0.00003341594],"domain_scores_gemma":[0.9988421,0.0005184215,0.00008932018,0.0002695551,0.0002048578,0.00007591124],"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":[0.00122392,0.0009767062,0.01987747,0.0009626566,0.000236032,0.001242062,0.0008060213,0.1100107,0.04291848,0.005721934,0.05938511,0.7566388],"study_design_scores_gemma":[0.0001239882,0.0003317512,0.004929189,0.00005888112,0.00006466702,0.0005465663,0.0002368092,0.9135627,0.04827089,0.007858239,0.02395179,0.00006456553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4471517,0.001461076,0.455144,0.0006216844,0.0005201608,0.001521137,0.02101667,0.048661,0.02390259],"genre_scores_gemma":[0.7006698,0.0003679378,0.2418368,0.0003856136,0.0001031259,0.0005830904,0.04124799,0.001243351,0.01356224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003028143,"threshold_uncertainty_score":0.01013017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488341716604765,"score_gpt":0.2843054948197612,"score_spread":0.2394220776537135,"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."}}