{"id":"W2066952345","doi":"10.1109/vecims.2010.5609362","title":"An AI based solution for the control of 3D real-time sensor based gaming","year":2010,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scripting language; Computer science; Human–computer interaction; Game engine; Relation (database); Forcing (mathematics); Variety (cybernetics); Adversary; Augmented reality; Function (biology); Virtual reality; Artificial intelligence; Computer security; Database","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":[0.0007398579,0.00009857435,0.000131243,0.00005876394,0.000149755,0.00008214655,0.0006970085,0.00006818143,0.0001224183],"category_scores_gemma":[0.0001934178,0.00006736998,0.00007281874,0.0001390531,0.0001197822,0.0002712012,0.00002319133,0.000103133,0.00003160952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198047,"about_ca_system_score_gemma":0.0001107859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291173,"about_ca_topic_score_gemma":0.0000999043,"domain_scores_codex":[0.9990057,0.00005987633,0.0002501349,0.0002481768,0.0001991451,0.000236934],"domain_scores_gemma":[0.9977953,0.001072568,0.0001038611,0.0007199029,0.0002505722,0.00005775145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004758942,0.0001210831,0.0005009847,0.00001045756,0.00001104022,9.862152e-7,0.0002073953,0.006672509,0.8922776,0.01698183,0.0006231018,0.08254541],"study_design_scores_gemma":[0.0001155403,0.00009765716,0.0002261116,0.000004138625,0.00000772058,5.073414e-7,0.00001637901,0.8301927,0.1683401,0.0003962246,0.0005257861,0.0000770472],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008491107,0.000002858109,0.9867709,0.003483317,0.0002930517,0.000382114,0.000004709501,0.0001362729,0.0004357227],"genre_scores_gemma":[0.8129882,2.618468e-7,0.185833,0.0009694744,0.00007775993,0.00002593173,0.000001207862,0.000007283982,0.00009683707],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8235202,"threshold_uncertainty_score":0.2747268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206306660382382,"score_gpt":0.2932032834222188,"score_spread":0.271140216818395,"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."}}