{"id":"W1744407750","doi":"10.1023/a:1011199405471","title":"Object Caching and Prefetching in Distributed Virtual Walkthrough","year":2001,"lang":"en","type":"article","venue":"Real-Time Systems","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":[0.0005972183,0.0001648562,0.0002669082,0.000217468,0.0001206834,0.0003606676,0.000406664,0.00008386132,0.000002788588],"category_scores_gemma":[0.0000208194,0.0001560997,0.00004031353,0.0006402272,0.00002230173,0.0004739106,0.0002492757,0.0001234515,0.000007519296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006144678,"about_ca_system_score_gemma":0.00003563083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809439,"about_ca_topic_score_gemma":0.00002845159,"domain_scores_codex":[0.9985058,0.0001949314,0.0003757608,0.0004114458,0.0002311438,0.0002809595],"domain_scores_gemma":[0.999225,0.0001133757,0.0001193982,0.0004070312,0.00004960351,0.00008554698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002348656,0.0003112966,0.03979879,0.0001897957,0.00008288037,0.0002602748,0.007082433,0.002454032,0.004831999,0.9154828,0.002405536,0.02707666],"study_design_scores_gemma":[0.0004638123,0.0001736087,0.009870105,0.0003244271,0.000004805914,0.000173118,0.00006742759,0.982492,0.0001971978,0.001531839,0.004283714,0.0004179405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1915319,0.0001612797,0.805653,0.00005827879,0.0002023049,0.0003106334,0.000005829295,0.0005397997,0.001537026],"genre_scores_gemma":[0.998587,0.0002156139,0.0009196597,0.00002206134,0.00007211987,0.00002144052,0.00001502289,0.00001299262,0.000134114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.980038,"threshold_uncertainty_score":0.6365562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363695135265794,"score_gpt":0.2673937596894742,"score_spread":0.2537568083368163,"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."}}