{"id":"W4414258196","doi":"10.1101/2025.09.10.675295","title":"How the characteristics of a virtual environment affects the perception of travel distance through it","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Perception; Virtual machine; Ceiling (cloud); Urban environment; Affect (linguistics); Scale (ratio); Position (finance)","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":[0.0002691562,0.0002877754,0.0003494048,0.00005355386,0.00007913053,0.00005888432,0.0003512758,0.0002325924,0.00002735055],"category_scores_gemma":[0.00007694953,0.0002201295,0.0001298934,0.0001920711,0.0001602281,0.00008210925,0.0001166965,0.0004499679,0.000005450209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328041,"about_ca_system_score_gemma":0.00006886949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001240619,"about_ca_topic_score_gemma":0.000001421614,"domain_scores_codex":[0.9988024,0.00009654806,0.0003315047,0.0002717297,0.0003121988,0.0001855682],"domain_scores_gemma":[0.9988072,0.0001086762,0.0002617672,0.000675233,0.0001110813,0.00003607871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004611098,0.0001114977,0.0008354985,0.001205179,0.0002545259,0.000002992641,0.0003203114,0.0009066073,0.9933427,0.002432228,0.0004371673,0.0001051559],"study_design_scores_gemma":[0.0007757336,0.0001287987,0.3694437,0.001787161,0.0005035424,1.528161e-8,0.0001962135,0.0128321,0.6056581,0.00001312818,0.007749708,0.000911816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704097,0.0004395997,0.1249667,0.0007300296,0.001130225,0.001106421,0.001030673,0.0001407224,0.0000459392],"genre_scores_gemma":[0.9982871,0.000870995,0.0004171786,0.00007538708,0.0001723218,0.0001288058,0.000001654509,0.00003674294,0.000009820827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876847,"threshold_uncertainty_score":0.897662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189797778759781,"score_gpt":0.1987010272086157,"score_spread":0.1868030494210179,"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."}}