{"id":"W136561625","doi":"10.1609/aiide.v3i1.18800","title":"A Demonstration of SQUEGE: A CRPG Sub-Quest Generator","year":2007,"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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scripting language; Computer science; Game design; Plot (graphics); Adventure; Game Developer; Game design document; Video game development; Game art design; Multimedia; Process (computing); Human–computer interaction; World Wide Web; Artificial intelligence; Programming language; 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":[0.001068223,0.000640447,0.0002540055,0.0004668692,0.0003201658,0.0008848964,0.001444165,0.001008426,0.02801593],"category_scores_gemma":[0.003187955,0.0003450336,0.0004625919,0.0002395617,0.0006187202,0.0009163368,0.001447276,0.0009229686,0.007417446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654076,"about_ca_system_score_gemma":0.000403793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368372,"about_ca_topic_score_gemma":0.001753044,"domain_scores_codex":[0.9996237,0.0001263302,0.00002303539,0.00005648805,0.0001251508,0.00004539094],"domain_scores_gemma":[0.998752,0.0007501701,0.00003069513,0.0002099945,0.0001164068,0.0001406321],"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":[0.002032694,0.00187593,0.01152349,0.001719629,0.0001065655,0.007045136,0.008421184,0.04807377,0.09126399,0.08292141,0.2699454,0.4750708],"study_design_scores_gemma":[0.001271424,0.001264984,0.006422475,0.0003233867,0.00006682586,0.004401983,0.0008913926,0.4038159,0.07104365,0.0305573,0.479766,0.0001747878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07747446,0.0003440959,0.6801849,0.001334597,0.0007223965,0.00148255,0.003856252,0.137511,0.09708977],"genre_scores_gemma":[0.4089742,0.0002680079,0.5021447,0.0009195149,0.00005240324,0.001228184,0.004498756,0.01587161,0.06604269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02801593,"threshold_uncertainty_score":0.09372264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899920916849038,"score_gpt":0.2899116008436645,"score_spread":0.2509123916751741,"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."}}