{"id":"W3010956859","doi":"10.1109/ccwc47524.2020.9031129","title":"Adapting a Container Infrastructure for Autonomous Vehicle Development","year":2020,"lang":"en","type":"article","venue":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":10,"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; Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325157,0.0002126298,0.0003019903,0.00002735926,0.0005985969,0.000447107,0.0007391461,0.0001033879,0.000004142732],"category_scores_gemma":[0.00009475106,0.000202227,0.00003854695,0.0002373654,0.00007610415,0.0002914442,0.0006120434,0.0002822204,0.000003701607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002016821,"about_ca_system_score_gemma":0.0001464748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001634005,"about_ca_topic_score_gemma":0.00001291241,"domain_scores_codex":[0.9985638,0.0001086197,0.000417029,0.0004588628,0.0001479808,0.0003036972],"domain_scores_gemma":[0.9986901,0.000229732,0.0002048222,0.0003898058,0.0002567445,0.0002287531],"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":[0.00005984689,0.00004871902,0.001576587,0.000136657,0.00007715416,0.00000429603,0.03347981,0.0009558838,0.0001798143,0.07677161,0.004352408,0.8823572],"study_design_scores_gemma":[0.001084659,0.0001137648,0.005975479,0.0002171191,0.00001306193,0.00001741565,0.004954486,0.8977758,0.00006758905,0.0007554851,0.0885421,0.0004829992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1060118,0.00186576,0.8803733,0.01023247,0.00009378926,0.0004233346,0.00002504596,0.0002821976,0.0006923334],"genre_scores_gemma":[0.9585064,0.00006124561,0.03991593,0.001311331,0.00006488274,0.00002005666,0.00003342249,0.000009737112,0.00007697949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8968199,"threshold_uncertainty_score":0.824658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116650382156875,"score_gpt":0.2541310710839041,"score_spread":0.2329645672623354,"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."}}