{"id":"W2534788641","doi":"10.1145/2966986.2967058","title":"Neural networks designing neural networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MNIST database; Computer science; Artificial neural network; Artificial intelligence; Machine learning; Computational complexity theory; Contextual image classification; Design space exploration; Image (mathematics); 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":[0.0001647638,0.0002583438,0.0002054929,0.00006540187,0.000280332,0.0001373846,0.00136058,0.00009755326,0.000045495],"category_scores_gemma":[0.00002639888,0.0001710427,0.0001023956,0.0006962977,0.00009516255,0.001008831,0.0004865562,0.0002146189,0.00004564899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004913873,"about_ca_system_score_gemma":0.00001114894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004443816,"about_ca_topic_score_gemma":0.000008031849,"domain_scores_codex":[0.9978941,0.00009567968,0.0003421999,0.0006846998,0.0002177852,0.0007654975],"domain_scores_gemma":[0.9980152,0.0005467313,0.0001304051,0.0009906127,0.00007683504,0.0002401665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009524748,0.00002964556,0.001223521,0.000001213764,0.00001144426,0.00001918261,0.00002045297,0.4230107,0.000730637,0.05399925,0.005166675,0.5157778],"study_design_scores_gemma":[0.0002725381,0.00004849681,0.0007798292,0.00000814236,0.000004146696,0.00004020032,0.000002156017,0.9949537,0.0002336716,0.002063444,0.00130955,0.0002841359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001477023,0.0002037866,0.9919663,0.003621052,0.0005371239,0.000270348,3.861644e-7,0.0008766787,0.001047299],"genre_scores_gemma":[0.9423947,0.00003935162,0.05424621,0.001918211,0.0004790675,0.0000722118,0.000001425326,0.00002735493,0.0008214859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9409177,"threshold_uncertainty_score":0.6974917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204922601281407,"score_gpt":0.2554856277248758,"score_spread":0.2334364017120618,"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."}}