{"id":"W4405232618","doi":"10.1109/tg.2024.3515807","title":"Goal-Oriented Interactions in Games Using LLMs","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Games","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":[0.002322793,0.0008481187,0.0004511454,0.0008251117,0.0007281746,0.002409501,0.001019875,0.0009904621,0.00288468],"category_scores_gemma":[0.00834608,0.0005619052,0.0005671708,0.0003488441,0.001513894,0.002699724,0.002236097,0.0009469476,0.0008546628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081548,"about_ca_system_score_gemma":0.001046673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911127,"about_ca_topic_score_gemma":0.003405937,"domain_scores_codex":[0.9971265,0.001684908,0.0001670038,0.000426853,0.0004597044,0.0001351176],"domain_scores_gemma":[0.9960846,0.002428448,0.0004322187,0.000537934,0.0003212874,0.0001955334],"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":[0.001080207,0.0007110556,0.0127152,0.0008587666,0.000145776,0.001257244,0.02732254,0.1674472,0.1627182,0.2895208,0.008407498,0.3278154],"study_design_scores_gemma":[0.00007577051,0.0003564932,0.003360903,0.0001255763,0.00006184002,0.0003558814,0.001833888,0.8495629,0.03199135,0.07990968,0.032248,0.0001178143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05424356,0.00006465877,0.9338735,0.0001812733,0.00002045979,0.0001995079,0.0001117935,0.005202725,0.006102575],"genre_scores_gemma":[0.5954486,0.00004798646,0.3996734,0.0001185548,0.00001094802,0.0003211207,0.0002011297,0.0003691578,0.003809142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288468,"threshold_uncertainty_score":0.01228428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022186863348676,"score_gpt":0.3267746472763892,"score_spread":0.2865527786429024,"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."}}