{"id":"W7096806676","doi":"","title":"SORTS: INTEGRATING SOAR WITH A REAL-TIME STRATEGY GAME Investigators","year":2007,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soar; Scripting language; Interface (matter); Adversary; Variety (cybernetics); Simple (philosophy); State (computer science); Architecture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776125,0.0008847146,0.0004402431,0.000780443,0.000439639,0.002167121,0.002280043,0.0007416341,0.01394254],"category_scores_gemma":[0.003730708,0.0004027422,0.0009176684,0.0003137199,0.0009251253,0.003518577,0.003400354,0.001285096,0.004429614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008243388,"about_ca_system_score_gemma":0.001077775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002904737,"about_ca_topic_score_gemma":0.003747351,"domain_scores_codex":[0.998833,0.0003295075,0.00007539413,0.0001776643,0.0004425033,0.0001419955],"domain_scores_gemma":[0.9990963,0.0003018894,0.00005894628,0.0001701853,0.0001708736,0.0002018561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002881164,0.002221655,0.00552355,0.0009548326,0.0002203322,0.001542767,0.004742224,0.04612229,0.07641158,0.2277078,0.06539298,0.5662789],"study_design_scores_gemma":[0.0007651181,0.001437024,0.002370752,0.0002280703,0.0001885162,0.0009602549,0.0008862562,0.4299274,0.03376086,0.1060404,0.4231499,0.0002854247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05531314,0.000280815,0.7461424,0.001273558,0.0005498983,0.001081454,0.0007271573,0.08050781,0.1141237],"genre_scores_gemma":[0.3236296,0.0003375408,0.6178037,0.001201859,0.0001236278,0.0008425438,0.002032015,0.006175886,0.04785332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01394254,"threshold_uncertainty_score":0.04664242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243756934679732,"score_gpt":0.2761349436355481,"score_spread":0.2517592501675749,"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."}}