{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002126853,0.0001237698,0.0001331084,0.00007536072,0.00007796804,0.000112298,0.0006001849,0.00005238185,0.0007557381],"category_scores_gemma":[0.00003344322,0.0001172672,0.0000541921,0.0003224173,0.0000877073,0.0009293344,0.0001784567,0.000127821,0.01677487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003422766,"about_ca_system_score_gemma":0.00004113125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003624035,"about_ca_topic_score_gemma":0.00001089966,"domain_scores_codex":[0.9988766,0.00005288823,0.0002228707,0.0002109216,0.0002038218,0.0004328383],"domain_scores_gemma":[0.999041,0.00009523302,0.00005520908,0.0005522953,0.00009053514,0.0001657821],"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":[0.000004626588,0.0003239911,0.002264262,0.000009836318,0.000024367,0.00001743462,0.001051116,0.0003681096,0.03516285,0.8726181,0.04676401,0.04139134],"study_design_scores_gemma":[0.0004106609,0.000633302,0.08951771,0.0001048097,0.00005469368,0.0002467016,0.000156854,0.1579024,0.05573383,0.1179774,0.5752839,0.00197764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09353548,0.0003925758,0.499029,0.01123071,0.00177511,0.000499489,0.00001969944,0.001671915,0.391846],"genre_scores_gemma":[0.9802481,0.00003419792,0.01249816,0.0006912536,0.0003356365,0.00001390212,0.00000732229,0.00001341527,0.006157987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8867127,"threshold_uncertainty_score":0.9839907,"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."}}