{"id":"W2077760499","doi":"10.1167/14.12.6","title":"Time to wave good-bye to phase scrambling: Creating controlled scrambled images using diffeomorphic transformations","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scrambling; Artificial intelligence; Perception; Pattern recognition (psychology); Computer science; Visual perception; Visual processing; Distortion (music); Texture (cosmology); Computer vision; Set (abstract data type); Communication; Image (mathematics); Psychology; Neuroscience; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008511147,0.0001634354,0.0004235986,0.0004053062,0.0003355139,0.0002135432,0.0001711698,0.00005330328,0.0001154305],"category_scores_gemma":[0.001489414,0.0001210325,0.0001927612,0.0004147731,0.00002671149,0.0005038122,0.00003597404,0.0002301335,0.0000801796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007271513,"about_ca_system_score_gemma":0.00003568337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003200074,"about_ca_topic_score_gemma":5.851494e-7,"domain_scores_codex":[0.9981462,0.0002041601,0.0006945374,0.0001939647,0.0005039105,0.0002572253],"domain_scores_gemma":[0.9985283,0.0004764173,0.0003719439,0.0001488399,0.0001997966,0.0002746823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006735625,0.0001727165,0.000003222211,0.000007847703,0.000006121464,0.00001269345,0.0001327693,0.003908044,0.9846292,0.00009124749,0.0002727452,0.01008984],"study_design_scores_gemma":[0.01242895,0.004251496,0.0004297603,0.0004649961,0.0001128548,0.0003313711,0.00004760488,0.8497115,0.1289009,0.0005562399,0.002411659,0.0003527038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937348,0.000007139662,0.05834182,0.002372942,0.0003345828,0.0004044418,0.000009574014,0.00002461583,0.00115685],"genre_scores_gemma":[0.9951833,0.000006277341,0.002732824,0.001401148,0.000251351,0.000002517468,0.000001137776,0.0000211711,0.0004002799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8557283,"threshold_uncertainty_score":0.4935563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332970293972583,"score_gpt":0.3160956066320331,"score_spread":0.2827659036923073,"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."}}