{"id":"W1988079275","doi":"10.1167/4.8.50","title":"Noise detection: Optimal summation of orientation information","year":2004,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bandwidth (computing); Summation; Spatial frequency; White noise; Mathematics; Gaussian noise; Orientation (vector space); Center frequency; Acoustics; Computer science; Optics; Algorithm; Physics; Statistics; Telecommunications; Psychology; Band-pass filter; Geometry","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":[0.001350968,0.0004446287,0.0007638216,0.0004046101,0.0002492413,0.001086253,0.0005580742,0.0005001845,0.0007090107],"category_scores_gemma":[0.006638427,0.0004250155,0.0002908638,0.0002659421,0.0006626314,0.001992176,0.0009824024,0.0006110299,0.0002058413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006013772,"about_ca_system_score_gemma":0.0005204954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006155461,"about_ca_topic_score_gemma":0.000636871,"domain_scores_codex":[0.9986016,0.0002079839,0.0001052601,0.000373755,0.0005093029,0.0002022061],"domain_scores_gemma":[0.9979292,0.0006027733,0.0005194732,0.0003887337,0.0003574873,0.0002022928],"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":[0.0007335335,0.00007951658,0.004312431,0.0001214909,0.00002442024,0.0001243604,0.0001442784,0.002074366,0.9658632,0.003084435,0.0001449239,0.02329301],"study_design_scores_gemma":[0.000174078,0.001481622,0.123766,0.00008169926,0.00009691392,0.002099806,0.000168337,0.120093,0.7125326,0.0372324,0.002164366,0.0001093431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.871668,0.000555617,0.1254564,0.0001616342,0.0000339183,0.00003674977,0.0000546903,0.0002200008,0.001813045],"genre_scores_gemma":[0.9700184,0.0001563731,0.02936033,0.00007077096,0.0000163086,0.00001871481,0.00006267831,0.00004752938,0.0002488692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001350968,"threshold_uncertainty_score":0.00714469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270535136347131,"score_gpt":0.3316408648834017,"score_spread":0.3045873512486886,"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."}}