{"id":"W4394900829","doi":"10.1145/3642968.3654822","title":"PathFS","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Software deployment; Distributed computing; Edge computing; Bandwidth (computing); Latency (audio); Computer network; Operating system; Telecommunications","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":[0.0007013732,0.001110441,0.0006632038,0.001497048,0.001647789,0.003186748,0.002441209,0.001428119,0.3339055],"category_scores_gemma":[0.003708253,0.0005785322,0.0006003475,0.001709714,0.0005104854,0.003516844,0.003027869,0.001766109,0.2334028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011951,"about_ca_system_score_gemma":0.002385335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004625905,"about_ca_topic_score_gemma":0.00460074,"domain_scores_codex":[0.9990808,0.00008039284,0.00004267678,0.000194661,0.0004217006,0.0001797899],"domain_scores_gemma":[0.9985084,0.000168477,0.00004763214,0.0004961347,0.0006242236,0.0001551986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003579945,0.00009497804,0.0007692832,0.0003376543,0.00002891549,0.0001805084,0.0001328251,0.002658878,0.00405332,0.03321905,0.7467636,0.2114031],"study_design_scores_gemma":[0.00004465421,0.00003204803,0.0002722358,0.00004893929,0.000008678394,0.0001584974,0.0000548617,0.005132593,0.002858464,0.008619105,0.9827484,0.00002147198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008697434,0.001865538,0.1444331,0.003639022,0.003846133,0.0009269781,0.05055444,0.1712248,0.6148126],"genre_scores_gemma":[0.1197092,0.003055245,0.100802,0.002635363,0.0007955597,0.0012222,0.1408297,0.02703072,0.60392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3339055,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009750960173875002,"score_gpt":0.2236379998046792,"score_spread":0.2138870396308042,"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."}}