{"id":"W2112320870","doi":"10.1145/2702123.2702242","title":"Now You Can Compete With Anyone","year":2015,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Software deployment; Load balancing (electrical power); Multimedia; Human–computer interaction; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001620105,0.00008893683,0.00009663305,0.00004530935,0.00004296733,0.0001197883,0.0006723525,0.0000247759,0.00003076082],"category_scores_gemma":[0.00002204917,0.000063218,0.00001646114,0.0002724702,0.00007878087,0.0002599291,0.0001505945,0.00006868289,0.0004971082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003473211,"about_ca_system_score_gemma":0.0001169172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002858404,"about_ca_topic_score_gemma":0.001098984,"domain_scores_codex":[0.9991248,0.00002356752,0.0001196448,0.0002386195,0.000274742,0.0002186251],"domain_scores_gemma":[0.9991471,0.00002965299,0.00003483349,0.0004672315,0.0001496956,0.0001714794],"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":[0.00004227903,0.0002980271,0.05581095,0.00001244373,0.00006818726,0.00025276,0.0123517,0.003710479,0.00148497,0.749028,0.05777268,0.1191675],"study_design_scores_gemma":[0.0008266687,0.002271404,0.005831494,0.00008615482,0.00002461798,0.0003162326,0.003553771,0.4006696,0.2851754,0.05908171,0.240082,0.002080932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04989692,0.0000390178,0.8902764,0.005611675,0.0003414017,0.0001152219,7.965268e-7,0.0003760034,0.05334258],"genre_scores_gemma":[0.8967193,0.000001625924,0.09812132,0.0007304935,0.00005907251,0.000005050862,5.418697e-7,0.000006460529,0.004356098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8468224,"threshold_uncertainty_score":0.6389486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528076355882725,"score_gpt":0.2736525821452432,"score_spread":0.2208449465569707,"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."}}