{"id":"W1513610757","doi":"10.1007/11590323_41","title":"A Demonstration of the ScriptEase Approach to Ambient and Perceptive NPC Behaviors in Computer Role-Playing Games","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Scripting language; Computer science; Adventure; Entertainment; Human–computer interaction; Multimedia; Code (set theory); Computer game; Game design; Video game design; Artificial intelligence; Programming language; Visual arts","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":[0.0001824384,0.000341769,0.0002062956,0.0001419256,0.0003951101,0.0006432002,0.0006488508,0.0004654153,0.008429275],"category_scores_gemma":[0.0006907587,0.000144472,0.0002578284,0.00008907549,0.0006068023,0.0006072454,0.001048104,0.0007538034,0.001035431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175135,"about_ca_system_score_gemma":0.0003439678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097237,"about_ca_topic_score_gemma":0.003847888,"domain_scores_codex":[0.9998431,0.00005086032,0.000007694463,0.00001933985,0.00005813435,0.00002070126],"domain_scores_gemma":[0.9997687,0.0001016205,0.000009329106,0.00003969612,0.00003177517,0.00004891646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001085367,0.00135862,0.003994441,0.0005677664,0.00006231554,0.001965716,0.00698461,0.02413911,0.4294374,0.1995553,0.01431162,0.3165377],"study_design_scores_gemma":[0.0004027122,0.001934513,0.01769383,0.0002256774,0.00009421355,0.003240565,0.002817478,0.506451,0.1843359,0.09617501,0.1864588,0.0001703737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.200855,0.000238722,0.6303632,0.0008815055,0.0002530475,0.0003700009,0.0003990206,0.008444688,0.1581948],"genre_scores_gemma":[0.7537816,0.0001827896,0.2138094,0.0001828346,0.00001787273,0.000221275,0.0001637144,0.0004414867,0.03119897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008429275,"threshold_uncertainty_score":0.02819878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298941607671839,"score_gpt":0.2154216749884962,"score_spread":0.2024322589117778,"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."}}