{"id":"W2153816030","doi":"10.7939/r35n5v","title":"Computing Robust Counter-Strategies","year":2007,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Bounding overwatch; Adaptation (eye); Variety (cybernetics); Bayesian probability; Simple (philosophy); Artificial intelligence; Machine learning","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":[0.002485748,0.001429076,0.001415133,0.001230121,0.0006121201,0.001809924,0.002075653,0.002072102,0.002487041],"category_scores_gemma":[0.01700268,0.0006560667,0.0008542626,0.0005176846,0.001506035,0.00248778,0.002021481,0.001546019,0.0005588559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300637,"about_ca_system_score_gemma":0.001424419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024415,"about_ca_topic_score_gemma":0.002048624,"domain_scores_codex":[0.9983387,0.0005007054,0.0001240669,0.0004724426,0.0003683368,0.0001957894],"domain_scores_gemma":[0.9936869,0.003940296,0.0005948441,0.0008989269,0.0006314923,0.0002475744],"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":[0.0002069428,0.00007616581,0.002337922,0.0000553847,0.00009864271,0.000107086,0.0001073561,0.9323457,0.003562943,0.01685559,0.0005879997,0.04365818],"study_design_scores_gemma":[0.000009505648,0.00002635213,0.0001049941,0.00000365618,0.000006345044,0.00001679062,0.00001572975,0.990604,0.001284977,0.007766082,0.000155432,0.000006170842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0992016,0.0001061465,0.8964137,0.0001873884,0.00004341392,0.00009641246,0.00005737965,0.001226556,0.002667453],"genre_scores_gemma":[0.7798814,0.00004912564,0.2179708,0.0001207077,0.00002387512,0.000169009,0.0001682609,0.0001659938,0.001450872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002487041,"threshold_uncertainty_score":0.01314604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451494206295277,"score_gpt":0.3070415953745863,"score_spread":0.2618921747450585,"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."}}