{"id":"W4394844164","doi":"10.1167/jov.24.4.13","title":"Peripheral material perception","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Technische Universiteit Delft; York University; Massachusetts Institute of Technology; National Science Foundation","keywords":"Texture (cosmology); Foveal; Artificial intelligence; Perception; Computer science; Smoothness; Set (abstract data type); Representation (politics); Image (mathematics); Pattern recognition (psychology); Computer vision; Identity (music); Mathematics; Psychology; Aesthetics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061265,0.0006785868,0.0005298114,0.0005057236,0.0003071015,0.001935328,0.0006671663,0.0008124936,0.01470906],"category_scores_gemma":[0.004375522,0.0002688637,0.0004473061,0.0002173448,0.0005700404,0.003015222,0.001820399,0.0006734959,0.002877564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004985656,"about_ca_system_score_gemma":0.0003101353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062722,"about_ca_topic_score_gemma":0.0007248475,"domain_scores_codex":[0.9995435,0.00004708207,0.000013995,0.0001873472,0.0001463549,0.00006177489],"domain_scores_gemma":[0.99907,0.0002205901,0.000108314,0.0002386126,0.000184693,0.0001778248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002391156,0.0002329101,0.01164365,0.0006843865,0.00007670004,0.0002176641,0.0004603759,0.005403024,0.5236304,0.01167811,0.007991478,0.43559],"study_design_scores_gemma":[0.0002785949,0.004048646,0.2922728,0.0005518081,0.000263986,0.004481283,0.001108064,0.3292808,0.209917,0.1056572,0.05183739,0.0003024716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271385,0.001970999,0.1521807,0.0006031473,0.0003974452,0.000253588,0.001046591,0.002921292,0.1134877],"genre_scores_gemma":[0.9545329,0.000465998,0.03575291,0.0003933261,0.00004799628,0.00005208675,0.0007643609,0.0002983779,0.007692063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470906,"threshold_uncertainty_score":0.04920667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063728494407232,"score_gpt":0.3240272194024609,"score_spread":0.3033899344583886,"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."}}