{"id":"W2121229460","doi":"10.1145/1160633.1160761","title":"Robust game play against unknown opponents","year":2006,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001609239,0.0001381107,0.0001231806,0.00008903548,0.00008341919,0.0002111989,0.001005342,0.00006365619,0.000105561],"category_scores_gemma":[0.00002768597,0.0001193864,0.00006389136,0.0003086823,0.00006870549,0.0004930365,0.0002483384,0.0001009442,0.001226897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004564772,"about_ca_system_score_gemma":0.00004021852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002199581,"about_ca_topic_score_gemma":0.0001700314,"domain_scores_codex":[0.9986535,0.00003478308,0.0002806744,0.0003806824,0.0002936962,0.0003566532],"domain_scores_gemma":[0.9991688,0.00007695441,0.00005972441,0.0005432034,0.00007258169,0.00007873726],"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":[0.000005691635,0.0003259681,0.004304426,0.000007928786,0.00001801185,0.000102675,0.000492716,0.04827477,0.009130908,0.7709578,0.0384752,0.1279039],"study_design_scores_gemma":[0.0002229126,0.0001059195,0.01153878,0.00004550135,0.000007228293,0.00002446246,0.00008735831,0.6665778,0.107856,0.04492666,0.1675733,0.001033991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008376,0.00005615558,0.7818975,0.001030099,0.000614595,0.0001261828,8.588704e-7,0.0004603302,0.1149767],"genre_scores_gemma":[0.9573334,0.000006072724,0.03240984,0.0005801784,0.0001701358,0.000008877907,0.000002915794,0.00001047454,0.009478069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8564959,"threshold_uncertainty_score":0.9995508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472467974716025,"score_gpt":0.2553316849386645,"score_spread":0.2106070051915043,"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."}}