{"id":"W2753592303","doi":"10.1167/17.10.417","title":"Time to Contact Estimation in Virtual Reality","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Virtual reality; Ball (mathematics); Perception; Headset; Computer science; Depth perception; Computer vision; Monocular; Artificial intelligence; Observer (physics); Looming; Simulation; Optical head-mounted display; Psychology; Cognitive psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008729334,0.0004732652,0.0003780945,0.0006734857,0.0001436804,0.0008294975,0.0004358823,0.0003924802,0.002469389],"category_scores_gemma":[0.009817777,0.0002280235,0.0002586576,0.0003608356,0.0003680829,0.0007971594,0.001010542,0.0002368729,0.0002410532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004148645,"about_ca_system_score_gemma":0.0002491586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307126,"about_ca_topic_score_gemma":0.001214224,"domain_scores_codex":[0.9989637,0.0004411069,0.00005506535,0.0002230623,0.0002599326,0.00005714004],"domain_scores_gemma":[0.9953026,0.002773318,0.001040837,0.0002645562,0.0004800273,0.0001387179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005584519,0.0005760699,0.07006264,0.002001859,0.0003510471,0.0004190974,0.003421681,0.08419359,0.2812337,0.003393924,0.001715248,0.5470466],"study_design_scores_gemma":[0.0003281771,0.006086757,0.3821319,0.0003882571,0.0004225101,0.002247525,0.001691659,0.4859094,0.103655,0.007964768,0.008812445,0.000361446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134785,0.001222278,0.1811143,0.00007345156,0.00003129408,0.0001405227,0.0002379109,0.0003556324,0.00334605],"genre_scores_gemma":[0.9699719,0.0002850663,0.02915022,0.00001792887,0.00001771561,0.00004731951,0.0001328026,0.00001861566,0.000358428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002469389,"threshold_uncertainty_score":0.008260906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07075947378397107,"score_gpt":0.4063517661123235,"score_spread":0.3355922923283524,"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."}}