{"id":"W1969443585","doi":"10.1109/vecims.2006.250781","title":"Enhancing Remote Walkthrough for E-learning Environments on Mobile Devices over Heterogeneous Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Software walkthrough; Computer science; Rendering (computer graphics); Mobile device; Wireless network; Multimedia; Wireless; Virtual reality; The Internet; Mobile computing; Human–computer interaction; Computer network; Artificial intelligence; Telecommunications; World Wide Web; Software","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":[0.0002575206,0.0005955373,0.0002709804,0.0002442193,0.0002621536,0.0005612447,0.0005122496,0.0004679733,0.001784317],"category_scores_gemma":[0.0009215249,0.0001442799,0.00025037,0.0001726456,0.0002197934,0.0008528185,0.0008323495,0.0003305061,0.0003942588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697979,"about_ca_system_score_gemma":0.0001996918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046873,"about_ca_topic_score_gemma":0.001753638,"domain_scores_codex":[0.9997174,0.00008592914,0.00001450526,0.00004383862,0.00008743287,0.00005078879],"domain_scores_gemma":[0.9996787,0.0001048564,0.00003643971,0.00006530467,0.00007372756,0.00004093457],"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":[0.0005611093,0.0003557059,0.002776276,0.0003374015,0.00005930631,0.001804125,0.0007557774,0.07292277,0.5624588,0.008120453,0.00301872,0.3468296],"study_design_scores_gemma":[0.00009523667,0.001083932,0.008232091,0.00009887325,0.0001364687,0.003178646,0.0004722265,0.6690559,0.2685738,0.003767458,0.0451977,0.000107668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1378176,0.0005591073,0.8538246,0.000100669,0.00003929988,0.0001142071,0.00003151486,0.001739042,0.00577387],"genre_scores_gemma":[0.8539493,0.0004520235,0.1398764,0.00006885574,0.00002442204,0.00007013135,0.00009091646,0.0001228265,0.005345164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001784317,"threshold_uncertainty_score":0.005969167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00986694208737015,"score_gpt":0.237818316257244,"score_spread":0.2279513741698738,"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."}}