{"id":"W2917307490","doi":"10.1609/aiide.v10i1.12702","title":"AIIDE 2013 StarCraft Competition","year":2013,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Testbed; Competition (biology); Video game; Scripting language; Artificial intelligence; Task (project management); Entertainment; Video game development; Adversary; Multimedia; Human–computer interaction; Operations research; Game design; Computer security; World Wide Web; Engineering; Programming language","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001720675,0.0003288868,0.0003068014,0.0001673531,0.0001838188,0.001164679,0.001365988,0.00007662371,0.0002520393],"category_scores_gemma":[0.0002266341,0.0002396296,0.0001579819,0.0003032548,0.0004156468,0.0028064,0.0006959459,0.0003212942,0.0004738203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034232,"about_ca_system_score_gemma":0.00003965291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001618842,"about_ca_topic_score_gemma":0.000008544896,"domain_scores_codex":[0.9977015,0.00001918565,0.0007011541,0.0006091507,0.0005415565,0.0004274556],"domain_scores_gemma":[0.9982289,0.000169716,0.0004023182,0.0003090452,0.0007339271,0.000156098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007409069,0.0004827992,0.0007919911,0.00003863404,0.00005843124,8.584622e-7,0.00316528,0.00003452894,0.01993547,0.7580553,0.0006979025,0.2166647],"study_design_scores_gemma":[0.0000490818,0.0009287958,0.0009270564,0.0005709224,0.00001447766,0.00001619247,0.007083963,0.07071188,0.4749908,0.4430238,0.001121818,0.0005611817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586063,0.00004429308,0.08420721,0.01768014,0.0009197991,0.001649913,0.00002370213,0.0001800915,0.03668854],"genre_scores_gemma":[0.998161,0.00005919333,0.0005858141,0.0005004549,0.00005090791,0.00009421274,0.000001456566,0.00001514518,0.0005317678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4550553,"threshold_uncertainty_score":0.9998722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552102637497995,"score_gpt":0.2699238756067275,"score_spread":0.2344028492317476,"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."}}