{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005854465,0.00006323344,0.00007991464,0.00001943076,0.0001448616,0.0001191548,0.0002471855,0.00003574746,0.000005536723],"category_scores_gemma":[0.0000485421,0.0000566934,0.00001992707,0.0002377519,0.00001589189,0.0001114397,0.0001425524,0.00006939994,0.000002223674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000787617,"about_ca_system_score_gemma":0.00001886935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002374072,"about_ca_topic_score_gemma":2.219814e-7,"domain_scores_codex":[0.9995078,0.00001397368,0.00009555701,0.0002148726,0.0000580851,0.0001097039],"domain_scores_gemma":[0.9996815,0.00003307823,0.0000361832,0.0001013842,0.00006653322,0.00008135595],"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":[0.00001275771,0.00003157023,0.002166834,0.0001001763,0.00003233735,9.428263e-7,0.001241986,0.1402385,0.0004398329,0.290904,0.01611061,0.5487205],"study_design_scores_gemma":[0.0001201302,0.00004408698,0.000385614,0.000001726708,0.000002010974,0.000001795619,0.00001372563,0.9439436,0.0004880018,0.004453048,0.05046764,0.00007858215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009521352,0.00006155456,0.9956793,0.002228532,0.000008677343,0.0002011924,0.000002202246,0.0006764398,0.001046872],"genre_scores_gemma":[0.257782,0.00001578773,0.741452,0.0006026053,0.00003192555,0.00004900277,0.0000153751,0.000004049492,0.00004725421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8037052,"threshold_uncertainty_score":0.231189,"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."}}