{"id":"W2101661428","doi":"10.1007/s00422-011-0433-y","title":"Normalization for probabilistic inference with neurons","year":2011,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Normalization (sociology); Inference; Pooling; Computation; Artificial intelligence; Models of neural computation; Computer science; Artificial neural network; Probabilistic logic; Machine learning; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000513197,0.00009922382,0.0000864417,0.00001987138,0.0000783633,0.00001972092,0.0001346331,0.00006147067,0.00004876731],"category_scores_gemma":[0.0007467556,0.00006025116,0.00002646027,0.0001245089,0.0001390308,0.00004265208,0.00003691409,0.0000641934,0.0000157315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009630515,"about_ca_system_score_gemma":0.0000127202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005070527,"about_ca_topic_score_gemma":0.000004330646,"domain_scores_codex":[0.9992888,0.00004686919,0.00012224,0.0002811509,0.00007440981,0.0001865112],"domain_scores_gemma":[0.999486,0.0002338391,0.00005869495,0.0001232771,0.00004466571,0.00005354098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006975459,0.0006423892,0.03343927,0.00004981455,0.000006389667,0.00002170526,0.0002981704,0.0004220004,0.2271472,0.726517,0.0002127422,0.01054576],"study_design_scores_gemma":[0.002945178,0.02090096,0.4895945,0.00007506157,0.000098337,0.0001357488,0.00006168636,0.1259533,0.1610461,0.1735616,0.02364381,0.001983773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749775,0.000003758903,0.02008672,0.0000657401,0.0001537936,0.000480853,0.00001997355,0.0001037424,0.004107918],"genre_scores_gemma":[0.9978773,0.00001813478,0.001244593,0.0005022067,0.00003138303,0.00004815193,0.000008402135,0.000007866436,0.0002619587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5529554,"threshold_uncertainty_score":0.2456971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221174121808467,"score_gpt":0.2673151789008528,"score_spread":0.1451977667200062,"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."}}