{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258982,0.00007276776,0.0001461033,0.00007021339,0.00001280329,0.00002895968,0.0001926771,0.00004797216,0.0001082461],"category_scores_gemma":[0.00002694253,0.00006595362,0.00004222705,0.00004606324,0.00003385365,0.0002766123,0.000008802087,0.0001130431,0.000005044534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009103114,"about_ca_system_score_gemma":0.00002947858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886773,"about_ca_topic_score_gemma":0.000004389554,"domain_scores_codex":[0.9990541,0.00005656157,0.0004214104,0.00005491967,0.0003462749,0.00006667103],"domain_scores_gemma":[0.9994794,0.00006832686,0.0001058133,0.00007146797,0.0002046477,0.0000703916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008836939,0.000287365,0.0008021572,0.00008595212,0.0007198854,0.0001617586,0.002414762,0.547486,0.01078654,0.01768175,0.0009627818,0.4177273],"study_design_scores_gemma":[0.003155365,0.0007922418,0.02399835,0.0004020375,0.00008806177,0.001223044,0.001128028,0.9494737,0.01352465,0.002196915,0.003611828,0.0004057497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251406,0.00006620232,0.0717622,0.0001059262,0.0003724141,0.00004861172,0.00001941734,0.00002713947,0.002457476],"genre_scores_gemma":[0.9977743,0.0001155609,0.001880722,0.00002817748,0.0001324761,5.054046e-7,0.000004171472,0.000009131008,0.00005494025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173216,"threshold_uncertainty_score":0.2689511,"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."}}