{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002027042,0.0005574211,0.0002935141,0.0006881235,0.0005689985,0.001412817,0.001970881,0.0006566606,0.002203871],"category_scores_gemma":[0.006375636,0.0006826033,0.0004594644,0.0004579,0.000771824,0.002869811,0.002871307,0.001314907,0.001015363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126273,"about_ca_system_score_gemma":0.002165311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382115,"about_ca_topic_score_gemma":0.002556053,"domain_scores_codex":[0.9987288,0.0002410997,0.00009823975,0.0002303935,0.0003625968,0.0003388027],"domain_scores_gemma":[0.9962913,0.0007205125,0.0003683088,0.00140782,0.0007702078,0.0004418644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001256645,0.0008944274,0.03725504,0.000646293,0.0001619322,0.002788092,0.002744989,0.1999299,0.2650027,0.04817363,0.02141182,0.4197346],"study_design_scores_gemma":[0.0002412683,0.001534883,0.01239365,0.0002087672,0.0001750769,0.001448401,0.001423925,0.6477877,0.1904995,0.01256963,0.1314498,0.0002675545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3443354,0.0003738549,0.6143882,0.0008611354,0.0002915942,0.000759322,0.0002212534,0.02354729,0.01522194],"genre_scores_gemma":[0.6264229,0.0002064312,0.3677191,0.0001314482,0.00002108134,0.0002727146,0.0004635476,0.001930887,0.002831904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003382115,"threshold_uncertainty_score":0.01072013,"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."}}