{"id":"W4243237229","doi":"10.32920/ryerson.14637918.v1","title":"Delivering Services Over Next Generation Broadband Networks: Exploring Devices, Applications and Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Swinburne University of Technology","keywords":"Broadband; Broadband networks; Mobile broadband; Telecommunications; Wireless broadband; Service delivery framework; Service (business); Access network; Computer science; Business; Wireless network; Wireless; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008651933,0.00036195,0.0003146105,0.00009683827,0.0001446599,0.0007544613,0.0001827255,0.0002955223,0.000080645],"category_scores_gemma":[0.000001211445,0.0003877498,0.00007506581,0.0001545868,0.00001877088,0.0004695153,0.0003396523,0.0004592971,0.000003623105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006955858,"about_ca_system_score_gemma":0.00001675245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009640162,"about_ca_topic_score_gemma":0.001537693,"domain_scores_codex":[0.9989681,0.00002149856,0.0003142141,0.0002054688,0.0001216475,0.0003690617],"domain_scores_gemma":[0.9993138,0.00004182238,0.0000580893,0.000397117,0.0000543863,0.0001348367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001128863,0.000006215259,0.001250115,0.0003753656,0.000110004,9.392787e-7,0.00133899,0.983167,0.0003416232,0.00009549468,0.0001510493,0.01316207],"study_design_scores_gemma":[0.0001076171,0.00000465708,0.004690579,0.0001968411,0.00007535161,0.000006473654,0.0004933365,0.9883286,0.0002661075,0.000009722502,0.005353567,0.0004671327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772183,0.02277972,0.1968319,0.00001787556,0.0007924384,0.0003559541,0.000007202128,0.000493575,0.001502945],"genre_scores_gemma":[0.9804259,0.0155128,0.0009281471,0.0001938532,0.002111875,0.0003278411,0.000362337,0.00007834036,0.0000589122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032075,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379336711860531,"score_gpt":0.2420014435934133,"score_spread":0.198208076474808,"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."}}