{"id":"W3167805910","doi":"","title":"Parallelizing Legendre Memory Unit Training","year":2021,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Recurrent neural network; Leverage (statistics); Machine translation; Artificial intelligence; Benchmark (surveying); Inference; Transformer; Machine learning; Artificial neural network","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":[0.0007445826,0.000891774,0.0007108905,0.0005174302,0.0003354301,0.0007781969,0.002018634,0.0007565817,0.007068228],"category_scores_gemma":[0.00248039,0.0003916686,0.000590526,0.0005579846,0.0004716712,0.001778478,0.001025712,0.001317989,0.002543959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937332,"about_ca_system_score_gemma":0.001155776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042734,"about_ca_topic_score_gemma":0.01603378,"domain_scores_codex":[0.9995665,0.00007298394,0.00002969597,0.0001486435,0.0001090452,0.00007321287],"domain_scores_gemma":[0.9995092,0.0001193483,0.00002627234,0.0001612262,0.0001612824,0.00002265975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003375984,0.0001501322,0.001444877,0.0001949436,0.0001276559,0.0002378738,0.0001579224,0.2084783,0.03218227,0.01392233,0.02162026,0.7211457],"study_design_scores_gemma":[0.00002119205,0.00006662474,0.0002592347,0.00001188943,0.0000224631,0.00006294532,0.00002660278,0.9686636,0.02162701,0.004094357,0.005127395,0.00001670832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07414361,0.0009461016,0.8906832,0.0004686729,0.0004792401,0.0001416375,0.0004778213,0.02136275,0.01129698],"genre_scores_gemma":[0.5746986,0.0003373467,0.4049736,0.0004763995,0.0001141956,0.0002362377,0.001997172,0.001107405,0.01605906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008042734,"threshold_uncertainty_score":0.02364552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373950590677315,"score_gpt":0.2117834451219137,"score_spread":0.1780439392151406,"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."}}