{"id":"W2529004582","doi":"10.7554/elife.22901","title":"Towards deep learning with segregated dendrites","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":414,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Google; Compute Canada; Canadian Institute for Advanced Research; University of Toronto","keywords":"Deep learning; Biology; Cognitive science; Evolutionary biology; Artificial intelligence; Neuroscience; Computational biology; Computer science; Cell biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000739014,0.00008318733,0.00008022937,0.00002771802,0.000620153,0.0002142498,0.0001720501,0.00003013207,0.00005080884],"category_scores_gemma":[0.0006326611,0.00006088483,0.00002421703,0.00004940257,0.00008222664,0.0002142474,0.00006850265,0.0001604503,0.0001084786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214242,"about_ca_system_score_gemma":0.00001467377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003396986,"about_ca_topic_score_gemma":0.00003532768,"domain_scores_codex":[0.9992747,0.00003401129,0.00007016282,0.0002302515,0.000220599,0.00017027],"domain_scores_gemma":[0.9995335,0.0000402402,0.00009299726,0.0002431111,0.00003180669,0.00005828109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001904589,0.00009589986,0.04272744,0.00002878693,0.00001517814,0.0004058836,0.0003167399,0.001016476,0.8389621,0.007491756,0.0006499836,0.1080993],"study_design_scores_gemma":[0.001490431,0.000703741,0.1800485,0.00007673726,0.00002616123,0.0002281439,0.00009664066,0.08866783,0.6844525,0.0004333121,0.04312379,0.0006521908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844311,0.00001197161,0.0005322302,0.0007047731,0.0002867134,0.00007377822,0.000001659828,0.0001097886,0.01384802],"genre_scores_gemma":[0.9960877,0.00002767739,0.0001592592,0.0004850327,0.00008918606,0.000004505836,0.000001422085,0.00001378292,0.003131481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1545096,"threshold_uncertainty_score":0.4769778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027206180644666,"score_gpt":0.2634071930784643,"score_spread":0.2362010124337983,"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."}}