{"id":"W4248649175","doi":"10.32920/ryerson.14647149.v1","title":"A solution to profiling for mobile computation cloud offloading","year":2021,"lang":"en","type":"preprint","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Profiling (computer programming); Computer science; Cloud computing; Wind profiler; Software; Mobile device; Acoustic Doppler current profiler; Database; Operating system; Telecommunications; 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":[0.001407035,0.001178307,0.0009117172,0.0008887423,0.001118916,0.002457286,0.002092145,0.001240771,0.003701922],"category_scores_gemma":[0.005370247,0.0007992784,0.0007439499,0.0009874898,0.0005695614,0.003440151,0.002548976,0.002451361,0.002462646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007855461,"about_ca_system_score_gemma":0.00135115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425783,"about_ca_topic_score_gemma":0.00163189,"domain_scores_codex":[0.99748,0.000548582,0.0002133726,0.0004597605,0.0009004263,0.0003979886],"domain_scores_gemma":[0.9972077,0.0002931442,0.0002039007,0.001439816,0.0006849018,0.0001706363],"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":[0.0008817413,0.0005298827,0.006860823,0.0005238496,0.0001694641,0.0008997566,0.001277841,0.04311189,0.1327523,0.1027459,0.05737869,0.6528679],"study_design_scores_gemma":[0.0001176898,0.0003276254,0.003314857,0.0001633479,0.0001261114,0.001173609,0.0004256012,0.6550193,0.1333106,0.04085756,0.1649857,0.0001779249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01721307,0.0002738396,0.9659451,0.0006936617,0.0002454186,0.0002891883,0.0002057468,0.00913187,0.006002097],"genre_scores_gemma":[0.3262871,0.0005729872,0.6568471,0.0008924173,0.000199743,0.0003585218,0.0009791552,0.001629433,0.01223359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003701922,"threshold_uncertainty_score":0.01238418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939834069029005,"score_gpt":0.3092754893426938,"score_spread":0.2698771486524038,"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."}}