{"id":"W2986867269","doi":"10.48550/arxiv.1911.01075","title":"Adapting a Container Infrastructure for Autonomous Vehicle Development","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Container (type theory); Computer science; Scalability; Process (computing); Cloud computing; Distributed computing; Operating system; Engineering","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":[0.001960505,0.0005205192,0.0002878178,0.0006575562,0.000558542,0.001393283,0.001781147,0.0006606436,0.001967493],"category_scores_gemma":[0.006308673,0.0006182813,0.0004274666,0.0004792794,0.0007816997,0.002614661,0.002686534,0.001323229,0.0008803697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207837,"about_ca_system_score_gemma":0.001949364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307649,"about_ca_topic_score_gemma":0.002254121,"domain_scores_codex":[0.998792,0.0002396656,0.00009258904,0.0002191709,0.0003399416,0.0003166945],"domain_scores_gemma":[0.9964079,0.0007315866,0.0003445328,0.001390412,0.0007282686,0.0003972005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001175497,0.0008529215,0.03731634,0.0006095479,0.0001552656,0.002569283,0.002681515,0.2181104,0.2631213,0.0489147,0.01897469,0.4055185],"study_design_scores_gemma":[0.0002271184,0.00133065,0.01200225,0.0001839866,0.0001594218,0.001268329,0.001354371,0.6597326,0.1936695,0.0141864,0.1156547,0.0002305294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3665622,0.0003591653,0.5971612,0.000838707,0.0002718171,0.0006848827,0.0002038206,0.02007717,0.01384112],"genre_scores_gemma":[0.6521924,0.0002018838,0.3426836,0.0001183549,0.00002112372,0.0002559842,0.0004126178,0.001610234,0.002503664],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00307649,"threshold_uncertainty_score":0.01036823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582536940010904,"score_gpt":0.1822642049698085,"score_spread":0.1364388355696995,"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."}}