{"id":"W2015931225","doi":"10.1167/4.11.57","title":"Detection of depth order from chromatic aberration of defocused images","year":2004,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Accommodation; Monochromatic color; Optics; Chromatic scale; Chromatic aberration; Achromatic lens; Mathematics; Enhanced Data Rates for GSM Evolution; Fixation (population genetics); Chromatic adaptation; Physics; Computer vision; Computer science; Medicine","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":[0.0001310255,0.0001766895,0.0001598839,0.0002908766,0.00009579746,0.0002294465,0.0001244865,0.0002282247,0.001823692],"category_scores_gemma":[0.001235582,0.0001692072,0.00008686666,0.00008971912,0.000163775,0.0003981671,0.0003251852,0.0002911779,0.0001389637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491453,"about_ca_system_score_gemma":0.0001507485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007960898,"about_ca_topic_score_gemma":0.001733291,"domain_scores_codex":[0.9999107,0.00001344587,0.000005477999,0.00002045547,0.00002978861,0.00002009525],"domain_scores_gemma":[0.9995742,0.0001477628,0.00009531255,0.00003305746,0.0000549669,0.00009470522],"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":[0.0006146742,0.00002634769,0.006734296,0.00009648263,0.000009779255,0.00008079597,0.000178632,0.00007064686,0.9810368,0.0001693324,0.00004929115,0.01093289],"study_design_scores_gemma":[0.00009020641,0.001857118,0.6038981,0.00002759025,0.00005545359,0.001500271,0.0002349918,0.005637167,0.3850642,0.0007159926,0.0008786069,0.0000402094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99727,0.00007775075,0.001868791,0.00001603729,0.000003670432,0.00001173695,0.00004650766,0.00001523084,0.000690169],"genre_scores_gemma":[0.9961934,0.0001332501,0.003161139,0.0000175328,0.000004354111,0.000006021701,0.00008613099,0.000005647194,0.0003924471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001823692,"threshold_uncertainty_score":0.006100833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352236988415391,"score_gpt":0.3279471046960266,"score_spread":0.2944247348118726,"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."}}