{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006822359,0.000941852,0.001072531,0.001160258,0.0007456786,0.00123879,0.001140939,0.0009660666,0.002078743],"category_scores_gemma":[0.001887105,0.0009697871,0.0007488428,0.001263774,0.0009017522,0.001807539,0.001571921,0.000655028,0.0003227542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009646721,"about_ca_system_score_gemma":0.001535232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01813627,"about_ca_topic_score_gemma":0.01507504,"domain_scores_codex":[0.999488,0.0001553079,0.00001763309,0.0001113651,0.0001771928,0.00005048842],"domain_scores_gemma":[0.9995883,0.0002177986,0.00004664904,0.0000440284,0.00008144299,0.00002195201],"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":[0.00005502905,0.00004749413,0.0004490914,0.00003488678,0.00003139096,0.00003581027,0.0001575458,0.9063591,0.001545437,0.007788952,0.000573298,0.08292194],"study_design_scores_gemma":[0.00000702818,0.00001472085,0.0001139942,0.000003610859,0.000006277188,0.00001656787,0.0000293429,0.9971067,0.0004626329,0.001894043,0.0003378995,0.000007031499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02242477,0.0000723807,0.973716,0.0000851625,0.00002018114,0.00004235451,0.0000324439,0.0005330388,0.003073716],"genre_scores_gemma":[0.4727445,0.0001346048,0.5241506,0.00005164186,0.00001338744,0.0001821941,0.0001128327,0.0001452903,0.002464908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01813627,"threshold_uncertainty_score":0.03606141,"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."}}