{"id":"W3091803291","doi":"10.1109/dls51937.2020.00008","title":"Towards a Scalable and Distributed Infrastructure for Deep Learning Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Deep learning; Scalability; Python (programming language); Concurrency; Deep neural networks; Artificial neural network; Multithreading; Scripting language","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":[0.003300732,0.00149018,0.001002397,0.001195173,0.001036595,0.002819374,0.006525426,0.001414722,0.01212999],"category_scores_gemma":[0.007759251,0.001511368,0.0009784213,0.001490766,0.001358426,0.006231764,0.008655,0.005702181,0.007364184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919897,"about_ca_system_score_gemma":0.004387141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004362769,"about_ca_topic_score_gemma":0.004288177,"domain_scores_codex":[0.9976713,0.0003760987,0.0001426756,0.0004606539,0.0009022508,0.0004470199],"domain_scores_gemma":[0.9961458,0.0005431019,0.0001685826,0.00132664,0.001088286,0.0007274066],"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":[0.002288386,0.001483753,0.007829456,0.00140952,0.0003137996,0.0008693577,0.00105257,0.1046379,0.0606328,0.1781859,0.2198812,0.4214154],"study_design_scores_gemma":[0.0003305692,0.0003581662,0.001727497,0.0002318388,0.0001204218,0.0002328379,0.0003163127,0.7345881,0.03469302,0.08985074,0.1374178,0.000132643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0201443,0.0009622533,0.8892505,0.00210948,0.0005118751,0.000410959,0.0006191608,0.07609446,0.009896913],"genre_scores_gemma":[0.2337102,0.001335121,0.7322009,0.001347199,0.0003073847,0.0009360173,0.006129683,0.0077091,0.0163244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01212999,"threshold_uncertainty_score":0.04057884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115380902499291,"score_gpt":0.245923735174264,"score_spread":0.2347699261492711,"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."}}