{"id":"W3186837011","doi":"10.1145/3472538.3472587","title":"Adversarial Random Forest Classifier for Automated Game Design","year":2021,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Adversarial system; Game design; Screening game; Repeated game; Classifier (UML); Sequential game; Game mechanics; Non-cooperative game","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":[0.002165906,0.0007523736,0.0008781814,0.001263855,0.0005225602,0.0007814822,0.001195371,0.001195045,0.003184843],"category_scores_gemma":[0.004331992,0.0002956052,0.0007560015,0.000658277,0.0004283148,0.00095014,0.0004791743,0.001599295,0.001372531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108111,"about_ca_system_score_gemma":0.0009215596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008496427,"about_ca_topic_score_gemma":0.01184806,"domain_scores_codex":[0.9991305,0.0003276131,0.00004330141,0.0001596662,0.0002278051,0.0001109554],"domain_scores_gemma":[0.9980903,0.001231644,0.0001093348,0.0001817771,0.0003077816,0.00007913227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002753943,0.0003498814,0.00218155,0.00008692961,0.00007961127,0.0001034524,0.00004781431,0.6410064,0.004249908,0.008118827,0.008908555,0.3345916],"study_design_scores_gemma":[0.000005102893,0.00001556273,0.0001046358,0.000003096951,0.000002608496,0.000009052546,0.000002664697,0.9974936,0.0004135593,0.001612366,0.0003352228,0.000002586904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05434894,0.000775045,0.9349403,0.000507569,0.0001393596,0.0003095014,0.0004061394,0.003419385,0.00515376],"genre_scores_gemma":[0.7136191,0.0002684915,0.2769256,0.000257964,0.0000748839,0.0002955252,0.001113848,0.0001579172,0.007286571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008496427,"threshold_uncertainty_score":0.01689398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661949268056911,"score_gpt":0.3092142807978218,"score_spread":0.2430193539921306,"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."}}