{"id":"W3097025960","doi":"10.1167/jov.20.11.1443","title":"Gender- and age-contingent face aftereffects and the Hebbian normalization model","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Stimulus (psychology); Perception; Hebbian theory; Face perception; Illusion; Developmental psychology; Cognitive psychology; Neuroscience; Artificial neural network; Artificial intelligence; Computer science","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":[0.0007476741,0.0005450046,0.0003213287,0.0002448763,0.0001544516,0.0002790247,0.0005771721,0.0004309285,0.004110656],"category_scores_gemma":[0.002755017,0.000242593,0.0004873646,0.0001113117,0.0004624911,0.0006604522,0.0006079687,0.0008430619,0.0004745452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006612155,"about_ca_system_score_gemma":0.000405717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003573958,"about_ca_topic_score_gemma":0.00350776,"domain_scores_codex":[0.9996675,0.00004935289,0.00002056526,0.00008759843,0.0001231239,0.00005179879],"domain_scores_gemma":[0.9991254,0.0003386195,0.0001516433,0.0002022792,0.00009770944,0.00008442703],"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":[0.00135013,0.0001689645,0.01133281,0.0001285321,0.00007335331,0.0003406946,0.0001901223,0.01196511,0.9229982,0.009207536,0.0006899983,0.04155438],"study_design_scores_gemma":[0.0001352467,0.0009896728,0.3307496,0.00003827194,0.0001518488,0.001426119,0.0001228606,0.3286522,0.2938251,0.03956468,0.004212764,0.0001316662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911797,0.0006839415,0.076671,0.0003175073,0.0001741613,0.0001102778,0.0004719627,0.0005609604,0.009213161],"genre_scores_gemma":[0.9928657,0.0001047849,0.005279953,0.00007042781,0.00001068328,0.00002710748,0.0001014365,0.00006321633,0.001476795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004110656,"threshold_uncertainty_score":0.01375157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07568488983709513,"score_gpt":0.3323662742207082,"score_spread":0.256681384383613,"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."}}