{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003476299,0.0001282132,0.0001883978,0.00005205434,0.00009876197,0.0002350615,0.0005777513,0.00009214371,0.0001165224],"category_scores_gemma":[0.0004546531,0.0001121706,0.0001221082,0.0002988071,0.00005511643,0.0004002529,0.0001545713,0.00006939848,0.0001893264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003882048,"about_ca_system_score_gemma":0.0002496136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937648,"about_ca_topic_score_gemma":0.00005824912,"domain_scores_codex":[0.9986694,0.0000997006,0.0002870395,0.0004059516,0.0002023571,0.0003355246],"domain_scores_gemma":[0.9983608,0.0007550576,0.00006016933,0.0004796457,0.0002529186,0.0000914184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004870268,0.0003898072,0.0006186842,0.00003887207,0.0001883149,0.0001813385,0.002458068,0.05815981,0.0171067,0.6693891,0.1434207,0.1075616],"study_design_scores_gemma":[0.0005128538,0.0000576003,0.00008038592,0.000007931925,0.000007820274,0.00001100506,0.00005804323,0.9033523,0.06267565,0.02010687,0.01296968,0.0001598268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009329357,0.00004009528,0.9925376,0.001271147,0.001149209,0.0003502782,0.000001552049,0.0008984131,0.002818784],"genre_scores_gemma":[0.510089,0.000007510739,0.4848724,0.0006726417,0.0002217728,0.00008621893,0.000004844602,0.00001618328,0.0040294],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8451925,"threshold_uncertainty_score":0.4574183,"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."}}