{"id":"W2736251444","doi":"10.20870/ijvr.2000.4.4.2656","title":"Design and Speedup of an Indoor Walkthrough System","year":2000,"lang":"en","type":"article","venue":"International Journal of Virtual Reality","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Speedup; Software walkthrough; Computer science; Rendering (computer graphics); Visibility; Preprocessor; Computer graphics (images); Artificial intelligence; Software; Parallel computing; Software system; 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":[0.0005095631,0.0007286192,0.0008149846,0.0004377256,0.0004270912,0.0008456393,0.00113904,0.0005262774,0.009943598],"category_scores_gemma":[0.001461526,0.0005802668,0.0003062241,0.0002666388,0.0002620814,0.0008818472,0.0008019097,0.0006319453,0.001920282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003730023,"about_ca_system_score_gemma":0.0005368441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236336,"about_ca_topic_score_gemma":0.002155537,"domain_scores_codex":[0.9995742,0.00007329923,0.00002286319,0.00008983687,0.0001500457,0.00008977178],"domain_scores_gemma":[0.9993371,0.0001929015,0.00003388513,0.0001114537,0.0002044285,0.0001201895],"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":[0.001674471,0.0003922118,0.002352386,0.0005219464,0.0001152954,0.0008544138,0.000815308,0.04122921,0.4679624,0.007263515,0.01117068,0.4656483],"study_design_scores_gemma":[0.0005282874,0.001307702,0.005971313,0.00008330045,0.0001477737,0.001465167,0.0003108176,0.6634557,0.258449,0.002275012,0.06584672,0.0001592517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03422785,0.0001369095,0.9500681,0.0001020199,0.00006760675,0.0002512533,0.00008235713,0.01199708,0.00306689],"genre_scores_gemma":[0.3205331,0.0001798953,0.6735443,0.00006454282,0.00004834167,0.000202611,0.0003194226,0.0006676621,0.004440212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009943598,"threshold_uncertainty_score":0.0332647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007412503072413,"score_gpt":0.2824566291887516,"score_spread":0.2623825041580275,"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."}}