{"id":"W2139711497","doi":"10.1167/10.6.19","title":"Stereoscopic perception of real depths at large distances","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council","keywords":"Depth perception; Monocular; Binocular disparity; Stereopsis; Binocular vision; Stereoscopy; Optics; Perception; Scaling; Geodesy; Darkness; Mathematics; Physics; Artificial intelligence; Geology; Computer vision; Computer science; Geometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000385431,0.0000768102,0.0001573215,0.00009971413,0.0001217222,0.0000331478,0.0001788647,0.00007209945,0.0008542688],"category_scores_gemma":[0.0001483738,0.00005582735,0.00008147692,0.0001169738,0.00005156731,0.0003069979,0.00004025755,0.0002344826,0.00004029767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002577592,"about_ca_system_score_gemma":0.00003023679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001922802,"about_ca_topic_score_gemma":0.00002099823,"domain_scores_codex":[0.9989337,0.00007214416,0.0003521664,0.0001160443,0.0004012075,0.0001246843],"domain_scores_gemma":[0.9992695,0.00005364522,0.0003952005,0.0001083014,0.00009075339,0.00008253744],"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":[0.00009480655,0.0001027463,0.0007355987,0.00002199885,7.835111e-7,0.000004626751,0.0004419592,0.000001167281,0.988171,0.0002346657,0.0002781415,0.009912515],"study_design_scores_gemma":[0.003412351,0.003614678,0.2409505,0.0005359873,0.00005400772,0.0004491887,0.001270608,0.002489554,0.7251285,0.003515743,0.01814497,0.0004339187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996323,0.00000971093,0.001475714,0.0001443501,0.0008534638,0.00003846289,0.000004682121,0.00001056485,0.001140091],"genre_scores_gemma":[0.9978247,0.000143679,0.001126758,0.000139886,0.0001453452,2.844042e-7,5.711839e-7,0.000008654724,0.0006101577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2630425,"threshold_uncertainty_score":0.9353645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176698494057428,"score_gpt":0.3605781491206254,"score_spread":0.3288111641800511,"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."}}