{"id":"W4299525682","doi":"","title":"Human Walking in Virtual Environments: Perception, Technology, Applications","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Human–computer interaction; Perception; Computer science; Psychology; Neuroscience","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001321651,0.0003062147,0.0002782906,0.0004358305,0.0002022553,0.0001923082,0.0009098736,0.0004739602,0.0003397567],"category_scores_gemma":[0.0001169262,0.0003778472,0.00009825138,0.0003829457,0.0001952404,0.0001311256,0.0006138615,0.0008774058,0.0002374149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349836,"about_ca_system_score_gemma":0.0000428223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424197,"about_ca_topic_score_gemma":0.0007193239,"domain_scores_codex":[0.9977461,0.0006440478,0.0005449969,0.0005133246,0.0002476401,0.0003038768],"domain_scores_gemma":[0.9978061,0.000147373,0.0001652043,0.001527715,0.0002549892,0.00009862843],"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":[0.000002632308,0.001214306,0.008459249,0.0004353605,0.0002123422,0.000004760177,0.01480518,0.03443326,0.06996395,0.559426,0.002292037,0.3087509],"study_design_scores_gemma":[0.002501496,0.000001555803,0.06176736,0.004002998,0.0001597735,0.0000248384,0.003464719,0.7134221,0.01802696,0.07576341,0.1172131,0.003651632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3514911,0.0006685524,0.6023147,0.002879504,0.0001634637,0.001194997,0.00005630169,0.001024882,0.04020654],"genre_scores_gemma":[0.977925,0.0005409995,0.0140941,0.00004310825,0.00002123036,0.0006985124,0.0005910086,0.00007638323,0.006009677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6789889,"threshold_uncertainty_score":0.9998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147138078422193,"score_gpt":0.2132103576826775,"score_spread":0.2060632196042554,"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."}}