{"id":"W2161577931","doi":"10.1016/j.visres.2005.10.005","title":"Effect of decorrelation on 3-D grating detection with static and dynamic random-dot stereograms","year":2005,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Defence Research and Development Canada","keywords":"Decorrelation; Grating; Optics; Physics; Computer science; Computer vision","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":[0.001711652,0.00008981991,0.0001252373,0.0002765346,0.0002959042,0.00009172281,0.00007952614,0.00005061955,0.00006425177],"category_scores_gemma":[0.000605835,0.00006030285,0.00001978252,0.0004546616,0.0001121925,0.0001743468,0.00003208367,0.0002813822,0.00005791888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003864478,"about_ca_system_score_gemma":0.00001677148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001063136,"about_ca_topic_score_gemma":0.00003220978,"domain_scores_codex":[0.9978675,0.0008309386,0.0001625135,0.0002887748,0.000645798,0.0002045393],"domain_scores_gemma":[0.9985431,0.001127832,0.00005975192,0.000131447,0.00006654488,0.0000712882],"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":[0.0008921834,0.00003443625,0.00006110739,0.0000567231,7.636048e-7,0.000001183354,0.00020807,0.0001621389,0.5034467,0.00001724851,0.000005167507,0.4951143],"study_design_scores_gemma":[0.002883539,0.008502156,0.001068592,0.000239571,0.00000570636,0.00001504225,0.0001029019,0.2345062,0.7523048,0.0001272519,0.0001342118,0.0001100691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923031,0.00000874428,0.006766596,0.0001022877,0.00003684351,0.0003882725,0.000002177654,0.00003821715,0.0003537914],"genre_scores_gemma":[0.9994323,0.00002621651,0.0001987186,0.00004308429,0.00001498671,0.00002140412,0.000001648002,0.00001411094,0.0002475528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4950042,"threshold_uncertainty_score":0.2459079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773520298191353,"score_gpt":0.4340606111098517,"score_spread":0.3863254081279382,"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."}}