{"id":"W4386249508","doi":"10.1167/jov.23.9.5015","title":"Increasing motion parallax gain compresses space and 3D object shape","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Parallax; Monocular; Binocular disparity; Computer vision; Depth perception; Artificial intelligence; Stimulus (psychology); Illusion; Computer science; Optics; Mathematics; Communication; Stereopsis; Physics; Psychology; Perception; Cognitive psychology","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":[0.0001891154,0.0004426402,0.0002103054,0.0003548727,0.0001020274,0.0004014667,0.0002717893,0.000399995,0.002128215],"category_scores_gemma":[0.001938146,0.0002476989,0.0001989738,0.0001148823,0.0004030227,0.0006536265,0.000810251,0.0005111729,0.0001500613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003812505,"about_ca_system_score_gemma":0.0002404523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418693,"about_ca_topic_score_gemma":0.001283708,"domain_scores_codex":[0.9997072,0.00003069625,0.00001904596,0.0000583175,0.0001365394,0.00004820833],"domain_scores_gemma":[0.9992089,0.0002269932,0.0002576835,0.0001088371,0.0000846052,0.0001130561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001857769,0.00001581389,0.001503585,0.00002903579,0.000003769478,0.00005254068,0.00007142868,0.0002362853,0.9943921,0.0001217246,0.00002067115,0.003367258],"study_design_scores_gemma":[0.0001040732,0.002973702,0.3725887,0.00004018046,0.0000644614,0.00141095,0.0004173334,0.01060208,0.6089137,0.0009479405,0.001875801,0.00006110875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965732,0.0001099882,0.00258079,0.00004435,0.000004880568,0.00001355925,0.00002459888,0.00004726438,0.0006013344],"genre_scores_gemma":[0.9976988,0.0001227891,0.00175698,0.00003457464,0.00000458905,0.000009657745,0.00004489078,0.00001446115,0.0003131751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002128215,"threshold_uncertainty_score":0.007119596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06195661730308269,"score_gpt":0.3587993677158183,"score_spread":0.2968427504127357,"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."}}