{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555766,0.0008405169,0.0006086421,0.0005724822,0.0005178797,0.001925811,0.001560987,0.001108322,0.007340696],"category_scores_gemma":[0.0009458443,0.0003869193,0.0007710923,0.0003784766,0.001041879,0.0008759779,0.001271365,0.001106651,0.00163512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005181879,"about_ca_system_score_gemma":0.0007688668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369948,"about_ca_topic_score_gemma":0.002427289,"domain_scores_codex":[0.9994211,0.00007880671,0.00004077971,0.0001072325,0.0003088083,0.00004335438],"domain_scores_gemma":[0.9997284,0.00007289294,0.00003535679,0.00003502856,0.00009862913,0.00002962025],"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":[0.0004200138,0.000254488,0.0007475771,0.0006062115,0.0002091276,0.0006682864,0.0007185503,0.2351334,0.08340899,0.2036157,0.01220925,0.4620084],"study_design_scores_gemma":[0.00005512071,0.0002739623,0.0003520592,0.00005542222,0.00004920186,0.0002380841,0.00005814855,0.9217964,0.01320913,0.02054535,0.04331744,0.00004975151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001655358,0.0001409657,0.9890587,0.000141675,0.000152825,0.00009833326,0.00002300181,0.000837502,0.007891797],"genre_scores_gemma":[0.3815217,0.0007378889,0.5718129,0.0005612732,0.0002403209,0.0008401137,0.0001466827,0.0002085622,0.04393047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007340696,"threshold_uncertainty_score":0.02455711,"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."}}