{"id":"W2571482887","doi":"10.1101/045245","title":"Neural codes of seeing architectural styles","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fusiform face area; Encoding (memory); Representation (politics); Perception; Face perception; Human visual system model; Face (sociological concept); Visual cortex","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001806171,0.0001570024,0.0001139882,0.0003998528,0.0001401736,0.0007722423,0.0001748348,0.0002813213,0.001998711],"category_scores_gemma":[0.001333596,0.0001325092,0.0001672199,0.000231878,0.0004451142,0.0004637393,0.0004847964,0.0002740178,0.0001969218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907595,"about_ca_system_score_gemma":0.0001317562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234568,"about_ca_topic_score_gemma":0.002530231,"domain_scores_codex":[0.9999133,0.00001295099,0.000003111138,0.00002694558,0.00001728281,0.00002635678],"domain_scores_gemma":[0.999706,0.0001026978,0.00007074603,0.00003232161,0.00004640846,0.00004186223],"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":[0.0006217043,0.00006947678,0.05112149,0.0002461647,0.000127035,0.0004081322,0.001666767,0.008123201,0.7181682,0.01294201,0.002703445,0.2038024],"study_design_scores_gemma":[0.00002686795,0.0001357233,0.9012422,0.00008071319,0.00006472832,0.0005170493,0.00070483,0.03429218,0.04025322,0.02056852,0.002080785,0.00003315168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720203,0.0002244344,0.01522132,0.0001766894,0.00003574311,0.00001961497,0.000335119,0.0001007361,0.01186612],"genre_scores_gemma":[0.9967387,0.0000898435,0.001944058,0.00002795895,0.00000624498,0.000006582986,0.00009919024,0.00001040881,0.001077049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234568,"threshold_uncertainty_score":0.006686389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323636500812888,"score_gpt":0.2443958511204122,"score_spread":0.2211594861122833,"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."}}