{"id":"W2205823580","doi":"10.1609/aiide.v9i1.12672","title":"ScriptEase II: Platform Independent Story Creation Using High-Level Patterns","year":2013,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Scripting language; Computer science; Game programming; Bottleneck; Game engine; Interface (matter); Software; Game Developer; Game design; Game development tool; Multimedia; Process (computing); Programming language; Video game; Video game development; Game design document; Component (thermodynamics); Human–computer interaction; Operating system; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008587545,0.00104161,0.0003535712,0.0006060936,0.0004022758,0.002083745,0.001932548,0.0006921415,0.01189405],"category_scores_gemma":[0.003655016,0.0007857296,0.0009002824,0.0003092684,0.0007507062,0.002823466,0.002537903,0.001276102,0.003705228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326659,"about_ca_system_score_gemma":0.0006395315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007656151,"about_ca_topic_score_gemma":0.00109671,"domain_scores_codex":[0.999449,0.0001128325,0.00006155329,0.0001071998,0.0002130795,0.00005640475],"domain_scores_gemma":[0.998684,0.0004209506,0.00009689032,0.0004222775,0.0001753972,0.0002005176],"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":[0.001914817,0.001102065,0.009032673,0.001526957,0.0002335156,0.003141795,0.007701261,0.02335487,0.1435745,0.1036523,0.1134745,0.5912908],"study_design_scores_gemma":[0.0005027291,0.0007657291,0.004324284,0.0002246193,0.00009500366,0.002945401,0.0007266743,0.2774461,0.1500184,0.03731009,0.5253881,0.0002529312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03032744,0.0001018017,0.8730946,0.0001887255,0.0001568493,0.0008306666,0.001056091,0.07232284,0.02192102],"genre_scores_gemma":[0.1981122,0.000290159,0.7368622,0.0002409092,0.00004657944,0.001428987,0.005901013,0.01629163,0.04082645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189405,"threshold_uncertainty_score":0.03978956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07744838912627501,"score_gpt":0.2898096679577174,"score_spread":0.2123612788314424,"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."}}