{"id":"W2003435281","doi":"10.1167/12.9.573","title":"An alternative to explicit divisive normalization models","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Normalization (sociology); Computer science; Probabilistic logic; Inference; Neural coding; Artificial intelligence; Coding (social sciences); Theoretical computer science; Algorithm; 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":[0.001165134,0.0008037032,0.0009296342,0.0004155259,0.0004387545,0.001677507,0.002945287,0.00121237,0.005204954],"category_scores_gemma":[0.003536765,0.0005503637,0.001069444,0.0007208068,0.001681657,0.003861397,0.001878883,0.002383108,0.001032727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112164,"about_ca_system_score_gemma":0.001391726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003394373,"about_ca_topic_score_gemma":0.004280517,"domain_scores_codex":[0.9993907,0.0001386873,0.000028849,0.0001937809,0.0001762063,0.00007170932],"domain_scores_gemma":[0.9988981,0.0003895132,0.0001224569,0.000316888,0.0002095879,0.0000634765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000120869,0.00005923302,0.0006591749,0.0001176078,0.00009933733,0.00007445167,0.0002155749,0.6470246,0.00633919,0.2814436,0.002158204,0.06168818],"study_design_scores_gemma":[0.000007696017,0.0000160546,0.00009246029,0.00000663928,0.000008652814,0.00003125641,0.000007210432,0.9199626,0.001734683,0.0761231,0.001998919,0.00001075815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01020431,0.0001683226,0.9830379,0.0004504529,0.00003985939,0.00002826899,0.0001021546,0.0005205962,0.00544802],"genre_scores_gemma":[0.6596128,0.0004905494,0.3137994,0.000640775,0.000147648,0.0002005988,0.0003586113,0.0005677025,0.0241819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005204954,"threshold_uncertainty_score":0.0174123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268835412103313,"score_gpt":0.3243759836671012,"score_spread":0.2816876295460681,"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."}}