{"id":"W3144568485","doi":"","title":"Effective Virtual Reality Based Building Navigation Using Dynamic Loading and Path Optimization","year":2009,"lang":"en","type":"article","venue":"国际自动化与计算杂志","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Path (computing); Computer science; Computer graphics (images); Computer vision; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005180953,0.0001611718,0.0001737388,0.0001225616,0.0002272259,0.0001793133,0.0002426202,0.00009174948,0.000001159038],"category_scores_gemma":[0.00007925169,0.0001684322,0.00003324897,0.0004064835,0.00003247893,0.0005869475,0.00005764862,0.0001589687,0.000001964987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767031,"about_ca_system_score_gemma":0.00004787012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003942123,"about_ca_topic_score_gemma":1.837375e-7,"domain_scores_codex":[0.9986768,0.0001537871,0.0002042543,0.0004472099,0.0002533067,0.0002645897],"domain_scores_gemma":[0.9992575,0.0001353952,0.0001403564,0.0003023273,0.00007006145,0.00009433178],"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":[0.000005552451,0.00002469941,0.0001674136,0.000007042834,0.000005371619,0.00002148105,0.0002815952,0.9550952,0.004345011,0.001070769,0.000008033003,0.03896787],"study_design_scores_gemma":[0.0003400234,0.000136723,0.006080681,0.0001281743,0.00001030901,0.00002916174,0.00001115171,0.9915311,0.0008869627,0.0006544719,0.000003617548,0.0001876654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027907,0.00003932792,0.8962933,0.0001775024,0.0002020205,0.0002208509,0.000002753885,0.0002064841,0.00006707622],"genre_scores_gemma":[0.5993453,7.228721e-7,0.4005091,0.00009396529,0.00002901024,0.000002639271,0.00001036136,0.000005758992,0.000003181476],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4965546,"threshold_uncertainty_score":0.6868465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323321189484356,"score_gpt":0.2835678845180085,"score_spread":0.2703346726231649,"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."}}