{"id":"W4387410109","doi":"10.1145/3573382.3616030","title":"The Role of Generative AI in Games Research","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generative grammar; Popularity; Computer science; Conversation; Generative model; Artificial intelligence; Data science; Multimedia; Sociology; Psychology; Communication; Social psychology","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":[0.01255205,0.0007567317,0.00110092,0.002612452,0.003247413,0.01029523,0.002462028,0.003442786,0.004880934],"category_scores_gemma":[0.02324721,0.0007233439,0.0008316308,0.002028231,0.03182516,0.01525561,0.004316362,0.009198308,0.001092726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005645328,"about_ca_system_score_gemma":0.003122654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004543387,"about_ca_topic_score_gemma":0.00345235,"domain_scores_codex":[0.9898968,0.007229131,0.0003151626,0.0008045654,0.001389669,0.000364761],"domain_scores_gemma":[0.9697468,0.02474352,0.0006945974,0.002340393,0.001392886,0.00108184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003891922,0.000008102347,0.00008285369,0.00004305934,0.000003802991,0.00001059102,0.0005964508,0.0005271519,0.00002541662,0.9938805,0.0007292096,0.004088972],"study_design_scores_gemma":[0.000006194105,0.00001165859,0.00007331545,0.0001200718,0.000003538263,0.00002730946,0.000376986,0.002722897,0.00008621684,0.9724743,0.02408621,0.00001123499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02345207,0.08925708,0.3765881,0.1444878,0.00293987,0.0001401979,0.0001027812,0.0004684245,0.3625637],"genre_scores_gemma":[0.830666,0.0360282,0.1034516,0.0111888,0.00235995,0.0003591439,0.00009032594,0.0003857567,0.01547019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01255205,"threshold_uncertainty_score":0.06638241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060698708643391,"score_gpt":0.4122718054347272,"score_spread":0.3062019345703882,"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."}}