{"id":"W1447164167","doi":"10.1007/978-3-319-05506-0_1","title":"Environment Perception for Cognitive Cloud Gaming","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Cloud Computing and Remote Desktop Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cloud computing; Computer science; Mobile device; Context (archaeology); Perception; Context awareness; Human–computer interaction; Cognition; Mobile cloud computing; Terminal (telecommunication); Quality of experience; Multimedia; Quality (philosophy); World Wide Web; Quality of service; Computer network; Operating system; Psychology","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":[0.0004123804,0.0002565456,0.0003310576,0.0001631363,0.0008867598,0.0001711628,0.001709345,0.0002418715,3.153657e-7],"category_scores_gemma":[0.00007427155,0.0002054922,0.0002232586,0.0001017802,0.0004203357,0.0001148152,0.0008994535,0.0003093364,6.976795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006778983,"about_ca_system_score_gemma":0.00006644787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008941974,"about_ca_topic_score_gemma":0.000005765546,"domain_scores_codex":[0.9988844,0.000008614971,0.0004895851,0.0001949014,0.0001968509,0.0002256822],"domain_scores_gemma":[0.9984147,0.0005086311,0.0004294903,0.000508319,0.0001084496,0.00003043331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002111506,0.00001362026,0.000001315797,0.0002800555,0.0000911184,4.355008e-8,0.001899616,0.5860367,0.00002640211,0.09505144,0.00008858871,0.3165089],"study_design_scores_gemma":[0.0002246329,0.0001156534,0.00002718378,0.000295969,0.0000453812,0.00001064419,0.000008135005,0.9747792,0.00009573341,0.003845888,0.02024902,0.0003025744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004348746,0.0001995226,0.996797,0.0007682736,0.0005795907,0.0005868298,0.00002927591,0.0001255407,0.0004791256],"genre_scores_gemma":[0.02729587,0.00009943938,0.9720986,0.0001400217,0.0002081388,0.00002058562,0.00002599193,0.00001474633,0.00009659721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3887424,"threshold_uncertainty_score":0.8379728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124515206320405,"score_gpt":0.2304386343426289,"score_spread":0.2091934822794248,"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."}}