{"id":"W2935446689","doi":"10.1109/mitp.2019.2892162","title":"Empowering Extreme Automation via Zero-Touch Operations and GPU Parallelization","year":2019,"lang":"en","type":"article","venue":"IT Professional","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Scalability; Automation; Provisioning; Cloud computing; Analytics; Distributed computing; Embedded system; Computer architecture; Data science; Operating system","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":[0.00006711618,0.0001073791,0.00008766543,0.00007370753,0.00007826159,0.00006334995,0.00006763027,0.0001128982,0.0004824511],"category_scores_gemma":[0.000008272814,0.0001045743,0.00001906011,0.0001126527,0.00001454012,0.0009076257,0.0000199818,0.0001460881,0.0002705636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004031928,"about_ca_system_score_gemma":0.0000233125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001676517,"about_ca_topic_score_gemma":0.000002738825,"domain_scores_codex":[0.9993116,0.00001321196,0.000236534,0.0001127796,0.0001868044,0.000139114],"domain_scores_gemma":[0.9997487,0.00002728699,0.00001617655,0.0001106466,0.0000443909,0.0000528193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004075835,0.0002095284,0.01900001,0.001037595,0.0001561674,0.000006101753,0.007012616,0.7822471,0.06646649,0.04380782,0.03299381,0.04702206],"study_design_scores_gemma":[0.001182508,0.00004335144,0.02248655,0.0004930864,0.00001363512,0.00003294167,0.0007070845,0.9454986,0.004298059,0.001991381,0.02264212,0.0006106471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8328127,0.00007307745,0.1074632,0.0007783131,0.002063828,0.0005749391,0.00002075083,0.000617541,0.05559565],"genre_scores_gemma":[0.9961435,0.00001072083,0.001290101,0.0001230922,0.00004850311,0.00004025034,0.00009969375,0.00002079925,0.002223312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633308,"threshold_uncertainty_score":0.5282502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212909651806205,"score_gpt":0.2723575902184227,"score_spread":0.2510666250378021,"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."}}