{"id":"W2802841053","doi":"10.1167/18.5.9","title":"Adaptation to interocular difference","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Monocular; Uncorrelated; Adaptation (eye); Contrast (vision); Spatial frequency; Grating; Optics; Computer science; Artificial intelligence; Psychology; Mathematics; Physics; Statistics","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":[0.00019049,0.0000503655,0.0000790004,0.000112894,0.00007953103,0.00005998953,0.0001500894,0.00002647265,0.000189702],"category_scores_gemma":[0.0003421322,0.00003657437,0.00003592325,0.0001512641,0.00002442283,0.000161542,0.00002762309,0.00008568705,0.0002065096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057156,"about_ca_system_score_gemma":0.00001951555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.255607e-7,"about_ca_topic_score_gemma":0.000001071444,"domain_scores_codex":[0.9993119,0.00005691281,0.0001924054,0.00008907865,0.0002700392,0.0000797194],"domain_scores_gemma":[0.9995604,0.00002737187,0.0001289977,0.00006321626,0.00013,0.00009004521],"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":[0.00006336661,0.0000298118,0.000004327641,0.000002405323,3.835458e-7,0.000003584332,0.0008891802,0.000007464214,0.9227355,0.0001200195,0.0003096206,0.07583434],"study_design_scores_gemma":[0.0005934217,0.005528536,0.006745729,0.0003741171,0.00001028336,0.0001772525,0.0004002406,0.01018166,0.9603149,0.004514936,0.01098845,0.0001704647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684481,0.000006255846,0.1301598,0.0005152049,0.0005413577,0.0000289755,3.288378e-7,0.000009986794,0.0002900107],"genre_scores_gemma":[0.9952388,0.00001086014,0.002513174,0.001693263,0.0002046358,2.406455e-7,5.41517e-8,0.000005367707,0.000333636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276467,"threshold_uncertainty_score":0.2654332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07833080699472622,"score_gpt":0.3761342221394072,"score_spread":0.2978034151446809,"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."}}