{"id":"W1595456792","doi":"10.1007/11823285_103","title":"A Client-Server Approach to Enhance Interactive Virtual Environments on Mobile Devices over Wireless Ad Hoc Networks","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Rendering (computer graphics); Mobile device; Thin client; Wireless ad hoc network; Bandwidth (computing); Mobile computing; Computer graphics; Wireless; Computer network; Computer graphics (images); Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000445367,0.0007796995,0.0006389439,0.0006746951,0.0003045206,0.0005785808,0.003466321,0.0002648581,0.00002011891],"category_scores_gemma":[0.00002120411,0.0007061334,0.0001688683,0.000559779,0.0004348508,0.001167733,0.002122055,0.001164851,0.0001231706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670998,"about_ca_system_score_gemma":0.00012237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006742981,"about_ca_topic_score_gemma":0.00001751439,"domain_scores_codex":[0.9945585,0.00005838076,0.0006100977,0.002569792,0.00128542,0.0009178794],"domain_scores_gemma":[0.9972499,0.000400574,0.0003949846,0.001594855,0.00007848044,0.0002811829],"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":[0.00001922456,0.0001077293,0.00001665677,0.000008384192,0.000008153745,0.00002056009,0.0004084879,0.3006596,0.00008169364,0.001065919,0.00006763006,0.6975359],"study_design_scores_gemma":[0.000318371,0.0005926473,0.0003712922,0.0006108485,0.000007231456,0.00001950239,0.000001112978,0.9731128,0.00127024,0.002990454,0.01956085,0.001144695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007234134,0.0005178122,0.9937658,0.00008792964,0.001478576,0.0007338981,0.000005413357,0.0001182225,0.002568973],"genre_scores_gemma":[0.6249039,0.0001718046,0.3611151,0.01013833,0.0006938459,0.0001067859,0.00002569104,0.0001223428,0.002722288],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6963912,"threshold_uncertainty_score":0.999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008184851168654948,"score_gpt":0.2608128360876625,"score_spread":0.2526279849190076,"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."}}