{"id":"W2939608023","doi":"10.1145/3312614.3312643","title":"Metis","year":2019,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; Cloud computing; Node (physics); Task (project management); Metric (unit); Edge computing; Distributed computing; Enhanced Data Rates for GSM Evolution; Operating system; Systems engineering; Database; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001541696,0.001087487,0.0005637564,0.001189048,0.0009294886,0.00345565,0.002191458,0.001232056,0.06682422],"category_scores_gemma":[0.003112075,0.0003740794,0.0007657515,0.001164812,0.0004397203,0.002571139,0.002852475,0.001542635,0.0305158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518872,"about_ca_system_score_gemma":0.002758933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152083,"about_ca_topic_score_gemma":0.002856354,"domain_scores_codex":[0.9985833,0.0002898261,0.00008239776,0.0002394298,0.000601558,0.0002035272],"domain_scores_gemma":[0.9987343,0.0002121571,0.0001307316,0.0002660645,0.0004799619,0.0001768806],"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":[0.0004717216,0.000201693,0.001423251,0.000875352,0.00007992514,0.0003698131,0.0002170246,0.02618608,0.007999983,0.2955148,0.285116,0.3815444],"study_design_scores_gemma":[0.00006151365,0.0001358707,0.0006041317,0.0001436993,0.00002102134,0.0004377037,0.0001551067,0.07620804,0.005982074,0.04561553,0.870598,0.00003731647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009344326,0.002411907,0.5110644,0.005354953,0.002217038,0.000986021,0.009592028,0.01889633,0.440133],"genre_scores_gemma":[0.2370882,0.004152108,0.4007927,0.002920359,0.001179666,0.001852114,0.02849649,0.00487889,0.3186396],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9331758,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00503291203582265,"score_gpt":0.1914116631059535,"score_spread":0.1863787510701308,"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."}}