{"id":"W2088531720","doi":"10.1016/s1389-1286(00)00186-9","title":"An end-to-end communication architecture for collaborative virtual environments","year":2001,"lang":"en","type":"article","venue":"Computer Networks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Architecture; Focus (optics); Protocol (science); Human–computer interaction; Collaborative virtual environment; Object (grammar); Virtual reality; Layer (electronics); Transmission (telecommunications); State (computer science); Distributed computing; Computer network; Telecommunications; Artificial intelligence; Programming language","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":[0.0019877,0.0006067097,0.0006793795,0.0007071104,0.001813913,0.003551171,0.003236199,0.002207158,0.004321786],"category_scores_gemma":[0.003072444,0.0006353811,0.0005168525,0.000619518,0.0009259092,0.004775415,0.004415799,0.002131012,0.001994982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006804898,"about_ca_system_score_gemma":0.001091018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460439,"about_ca_topic_score_gemma":0.003485916,"domain_scores_codex":[0.9986758,0.0003289825,0.0001231864,0.0001881445,0.0005242491,0.0001595846],"domain_scores_gemma":[0.998369,0.0002728391,0.00007499125,0.0004882007,0.0004732831,0.0003215863],"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":[0.001437073,0.001275299,0.003372893,0.0004035824,0.0002499777,0.001141394,0.003904504,0.1083199,0.06406147,0.2919196,0.03613317,0.4877811],"study_design_scores_gemma":[0.00008714014,0.0003907563,0.0007655431,0.00006947788,0.0001475809,0.000477528,0.0003545961,0.855568,0.02478325,0.06004142,0.057189,0.0001256892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008851511,0.00009057765,0.9821241,0.000189318,0.00007624122,0.0001233985,0.00003189025,0.00416871,0.004344194],"genre_scores_gemma":[0.323696,0.0002898757,0.6573151,0.0002221358,0.0001009713,0.0003543113,0.0004044912,0.0003967496,0.01722036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004321786,"threshold_uncertainty_score":0.01445782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226557417345119,"score_gpt":0.2367664737028837,"score_spread":0.2245008995294325,"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."}}