{"id":"W1558653343","doi":"","title":"Real-time strategy gaines: a new AI research challenge","year":2003,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Domain (mathematical analysis); Operations research; Artificial intelligence; Human–computer interaction; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008167002,0.0006516423,0.001224763,0.001074536,0.00137174,0.00921444,0.002081156,0.003764237,0.0111391],"category_scores_gemma":[0.01682326,0.0003093469,0.000651997,0.001069099,0.007227493,0.02645279,0.002704119,0.008311839,0.002233054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823539,"about_ca_system_score_gemma":0.002128081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009483669,"about_ca_topic_score_gemma":0.001239648,"domain_scores_codex":[0.9968365,0.001163995,0.00009960191,0.0004450284,0.001216764,0.0002380692],"domain_scores_gemma":[0.9841283,0.01094415,0.0004524158,0.0009304196,0.001794361,0.001750424],"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":[0.0001224814,0.0001146859,0.0004728251,0.0002256705,0.00002601811,0.0000663296,0.0009012863,0.00182964,0.0007104311,0.8726541,0.01762964,0.1052469],"study_design_scores_gemma":[0.00003440714,0.000104973,0.0002781301,0.0001125557,0.00001195115,0.0001231704,0.001387137,0.00906658,0.0004432493,0.8953742,0.09304126,0.00002249214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04062356,0.0601929,0.2308291,0.4358726,0.004561645,0.00009717541,0.0002820414,0.0007968363,0.2267441],"genre_scores_gemma":[0.7511286,0.04336426,0.1184347,0.0159822,0.008176663,0.0003166059,0.0003052684,0.000660578,0.06163109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111391,"threshold_uncertainty_score":0.04319173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2825745515600075,"score_gpt":0.4172919766152771,"score_spread":0.1347174250552695,"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."}}