{"id":"W1511096005","doi":"10.1609/aimag.v33i3.2419","title":"Real‐Time Strategy Game Competitions","year":2012,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multitude; Order (exchange); Computer science; Operations research; Management science; Data science; Engineering; Business; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002257744,0.0007489413,0.0007039285,0.0008591536,0.0011035,0.001933531,0.001596246,0.001047324,0.01256961],"category_scores_gemma":[0.006851769,0.0002115343,0.0005065567,0.001163703,0.0009545202,0.001861078,0.001681687,0.001471462,0.001964006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505174,"about_ca_system_score_gemma":0.00118593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830109,"about_ca_topic_score_gemma":0.006825839,"domain_scores_codex":[0.9976585,0.0009404902,0.0001051178,0.0002435766,0.0007363289,0.0003160016],"domain_scores_gemma":[0.9959611,0.001858167,0.0003143585,0.0002160272,0.0005676647,0.001082666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002505891,0.002884681,0.005901182,0.001656231,0.0003609424,0.001074867,0.002776923,0.04316758,0.01320588,0.4206896,0.0921047,0.4136715],"study_design_scores_gemma":[0.0008085783,0.00276308,0.01214553,0.0003599723,0.0001052255,0.001112431,0.002179989,0.1257764,0.007271534,0.1630814,0.684171,0.0002249102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.404845,0.008390944,0.1604058,0.004733493,0.002650213,0.001624612,0.001049548,0.001316636,0.4149838],"genre_scores_gemma":[0.8835459,0.002963606,0.04410088,0.001071661,0.0004684109,0.00077481,0.001963365,0.0002002941,0.06491094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01256961,"threshold_uncertainty_score":0.04204953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933503070841547,"score_gpt":0.2981434790828846,"score_spread":0.2688084483744691,"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."}}