{"id":"W2066571572","doi":"10.1145/2757384.2757388","title":"SH-CRAN","year":2015,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Computer science; Backhaul (telecommunications); Cloud computing; Computer security; Computer network; Operating system; Base station","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009000191,0.0005021751,0.0003140766,0.0005179933,0.0009328395,0.001528406,0.001627854,0.0006745144,0.01206622],"category_scores_gemma":[0.001319647,0.0002153351,0.0004280728,0.0003505514,0.0007157428,0.002106023,0.002473475,0.001199694,0.00401768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009875877,"about_ca_system_score_gemma":0.001866352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00568159,"about_ca_topic_score_gemma":0.006966335,"domain_scores_codex":[0.999236,0.00008517379,0.00004264841,0.0001584493,0.0002923075,0.0001854415],"domain_scores_gemma":[0.9990502,0.00009840866,0.00006812149,0.0003637204,0.000295098,0.0001244714],"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":[0.001322607,0.0003716612,0.006265278,0.0006869885,0.000131901,0.0008652348,0.0005264055,0.06324953,0.03919503,0.2038513,0.1481855,0.5353486],"study_design_scores_gemma":[0.0001761021,0.000499399,0.002480159,0.000150745,0.00008740855,0.0008962248,0.0003730483,0.5019706,0.03137279,0.04372403,0.4181546,0.0001149055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08606468,0.002448101,0.6473532,0.002450895,0.001496266,0.001779883,0.001697608,0.02482095,0.2318884],"genre_scores_gemma":[0.7346792,0.001629201,0.1938715,0.002081088,0.0002701515,0.000485417,0.003943579,0.000904109,0.06213574],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9879338,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690852376929295,"score_gpt":0.2487406819086608,"score_spread":0.1918321581393678,"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."}}