{"id":"W4404445012","doi":"10.1609/aiide.v20i1.31877","title":"Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Content (measure theory); Computer science; Psychology; 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":[0.002390179,0.001017544,0.0007245271,0.004776424,0.0004930195,0.004212911,0.002030595,0.001464047,0.005859641],"category_scores_gemma":[0.009320173,0.0007368115,0.0009322913,0.004203633,0.001190024,0.005246847,0.00176731,0.001310142,0.003143677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047398,"about_ca_system_score_gemma":0.001092628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732476,"about_ca_topic_score_gemma":0.001702182,"domain_scores_codex":[0.9980775,0.0005685742,0.0001884649,0.0003285522,0.0007198291,0.0001171066],"domain_scores_gemma":[0.9945514,0.004159942,0.000202931,0.000384466,0.000547862,0.0001534576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009026153,0.0002048494,0.003067467,0.004356133,0.00005462273,0.0001008819,0.0009516263,0.005257201,0.002664505,0.03850584,0.01130685,0.9334397],"study_design_scores_gemma":[0.00008166693,0.000429959,0.008829708,0.00570476,0.000154563,0.002114149,0.002305625,0.09729222,0.01569078,0.06542968,0.8017831,0.0001839026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04249863,0.3621686,0.4845211,0.003743571,0.0007260587,0.0008192731,0.001105705,0.004919311,0.09949778],"genre_scores_gemma":[0.2340033,0.2803833,0.4479343,0.001792365,0.0009603946,0.0009284809,0.003560739,0.002139823,0.02829724],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005859641,"threshold_uncertainty_score":0.01960248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07120850862497619,"score_gpt":0.3041764801660764,"score_spread":0.2329679715411002,"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."}}