{"id":"W2150402875","doi":"10.1016/s0042-6989(03)00406-1","title":"Differential binocular input and local stereopsis","year":2003,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stereopsis; Contrast (vision); Spatial frequency; Binocular disparity; Monocular; Computer vision; Binocular vision; Artificial intelligence; Optics; Luminance; Mathematics; Depth perception; Computer science; Psychology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000567477,0.00008710986,0.00009788632,0.0002289646,0.0004162585,0.0002234689,0.0001561851,0.0000817201,0.002078056],"category_scores_gemma":[0.0004934341,0.0000693154,0.00002684289,0.0004575199,0.0002614142,0.0001202606,0.0001183256,0.0003186176,0.00045263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002217476,"about_ca_system_score_gemma":0.00004317568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008457314,"about_ca_topic_score_gemma":0.000001794642,"domain_scores_codex":[0.9977461,0.0006397014,0.0001264352,0.0004045946,0.0007357597,0.0003474136],"domain_scores_gemma":[0.9993662,0.0001707719,0.00001652457,0.0001992425,0.00006902666,0.0001781826],"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":[0.00003480033,0.0001048953,0.00007089326,0.00002904423,9.459962e-7,0.00001719803,0.0002255367,0.000001368605,0.9245958,0.009509352,0.0008538456,0.06455636],"study_design_scores_gemma":[0.0008485292,0.0006122971,0.0009092652,0.00005349163,0.000002789657,0.00003747606,0.0003503762,0.004620212,0.9507506,0.007775163,0.03382533,0.0002144636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807031,0.0000308988,0.01283119,0.0003321702,0.0001452318,0.0001566198,0.000002488312,0.00005335271,0.005744942],"genre_scores_gemma":[0.9970276,0.00008016481,0.0001466846,0.0002424351,0.0000246631,0.000008603715,6.585286e-7,0.00001399673,0.002455225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0643419,"threshold_uncertainty_score":0.9988342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148914350550269,"score_gpt":0.4384094113455444,"score_spread":0.2894950607952754,"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."}}