{"id":"W4381163954","doi":"10.1167/jov.23.6.10","title":"Detection of vertical interocular phase disparities using luster as cue","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Contrast (vision); Spatial frequency; Standard deviation; Psychophysics; Binocular disparity; Mathematics; Optics; Artificial intelligence; Binocular vision; Psychology; Pattern recognition (psychology); Computer science; Statistics; Physics; Perception; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002834279,0.00006110542,0.0001314291,0.0001976003,0.00007904578,0.00004535041,0.000097269,0.00004939842,0.00007521047],"category_scores_gemma":[0.000352636,0.00004766746,0.00008366906,0.0002430583,0.00004383429,0.0003069638,0.00003849424,0.0001481585,0.00003683372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002767555,"about_ca_system_score_gemma":0.00002373859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000301952,"about_ca_topic_score_gemma":3.613289e-7,"domain_scores_codex":[0.9990849,0.00008737524,0.0003026645,0.0000866105,0.0003338348,0.0001045436],"domain_scores_gemma":[0.9996285,0.00005521635,0.0001171018,0.0000616682,0.00007319719,0.00006426194],"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":[0.000206982,0.00007935895,0.000005634187,0.00002462785,0.000001690585,0.00002156157,0.0001879421,0.00008068043,0.989964,0.00004346006,0.00004105117,0.009342995],"study_design_scores_gemma":[0.0007742653,0.001250851,0.0002569663,0.0002098712,0.00001649814,0.0001964205,0.0001526251,0.04412377,0.9514664,0.001228912,0.0002626258,0.00006079969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801891,0.00001336985,0.01903704,0.0001489717,0.0005248883,0.00002845639,7.500608e-7,0.00001575171,0.00004160405],"genre_scores_gemma":[0.9994778,0.00003674456,0.0001130405,0.0002130417,0.00007948546,1.966659e-7,1.560002e-7,0.000008807541,0.00007074686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04404309,"threshold_uncertainty_score":0.1943823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08331636286847545,"score_gpt":0.4121181113980956,"score_spread":0.3288017485296202,"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."}}