{"id":"W2066999860","doi":"10.1016/j.visres.2015.01.026","title":"The efficiency of second order orientation coherence detection","year":2015,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Luminance; Contrast (vision); Coherence (philosophical gambling strategy); Receptive field; Artificial intelligence; Orientation (vector space); Computer science; Computer vision; Psychophysics; Visual cortex; Optics; Pattern recognition (psychology); Mathematics; Physics; Psychology; Perception; Neuroscience; Geometry","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":[0.002163202,0.00005107679,0.00005567696,0.0001201403,0.000459235,0.0001166521,0.0002579934,0.000046009,0.0002459411],"category_scores_gemma":[0.002379248,0.00003310665,0.00001617885,0.001151083,0.0002321164,0.0001422848,0.00008147144,0.0002173018,0.0003034313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003584928,"about_ca_system_score_gemma":0.0001325669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001505883,"about_ca_topic_score_gemma":0.00002922633,"domain_scores_codex":[0.9979748,0.0004624609,0.0001623319,0.0002281864,0.0009536224,0.0002186739],"domain_scores_gemma":[0.998741,0.0003871723,0.00005090234,0.0001991052,0.0005284379,0.00009340129],"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":[0.00007040842,0.00004662422,0.00001025955,0.000009098094,2.624485e-7,7.222078e-7,0.0007015905,0.00001006897,0.9518538,0.0007682575,0.0006103947,0.04591854],"study_design_scores_gemma":[0.000303029,0.0006612911,0.0002061219,0.00001404138,6.149721e-7,0.000004213531,0.001107357,0.005271342,0.9803488,0.004106723,0.007924178,0.00005228778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866356,0.00002642735,0.005203589,0.0002138529,0.0003338935,0.0002288333,0.000001961017,0.00003475594,0.007321083],"genre_scores_gemma":[0.9967834,0.00001336422,0.00007253038,0.00005039332,0.00002755746,0.00001433439,4.41257e-7,0.000006688608,0.003031339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586625,"threshold_uncertainty_score":0.3900097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.208332901251543,"score_gpt":0.4763154299895138,"score_spread":0.2679825287379707,"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."}}