{"id":"W4402904749","doi":"10.1167/jov.24.10.640","title":"Mapping neural similarity spaces for scenes with generative adversarial networks","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generative grammar; Adversarial system; Similarity (geometry); Computer science; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Image (mathematics)","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":[0.002747523,0.001259314,0.0009664127,0.001109658,0.0004010631,0.001226869,0.001530994,0.001770609,0.002625575],"category_scores_gemma":[0.009180113,0.0008232524,0.001305774,0.0005451808,0.001948789,0.001567348,0.003120952,0.002732453,0.0003210516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035865,"about_ca_system_score_gemma":0.0006389719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004491027,"about_ca_topic_score_gemma":0.003335255,"domain_scores_codex":[0.9991267,0.0004388123,0.00003491598,0.0002076801,0.000115045,0.00007678269],"domain_scores_gemma":[0.9957455,0.003263225,0.0003710087,0.0002314157,0.0002469848,0.0001417661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006341266,0.00003210338,0.0005787321,0.0000324098,0.00003914013,0.00004063864,0.00007309676,0.9733469,0.0007290152,0.01367286,0.0003505243,0.01104117],"study_design_scores_gemma":[0.000002699813,0.000009423274,0.00005221363,0.000002589718,0.000001780308,0.000005053332,0.000003729969,0.9943196,0.00009759164,0.005449226,0.00005312639,0.000003018165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06661971,0.0003866281,0.9299231,0.0005906123,0.00005188967,0.0001364494,0.0001405453,0.0003170958,0.001833919],"genre_scores_gemma":[0.8692994,0.0003212124,0.1246983,0.0003566969,0.00006686374,0.000429146,0.0003834124,0.0001397517,0.004305293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004491027,"threshold_uncertainty_score":0.01477134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729367106015438,"score_gpt":0.2685850423364434,"score_spread":0.251291371276289,"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."}}