{"id":"W2567142566","doi":"10.1109/m-com.2016.7785882","title":"Research to Standards: Next Generation IoT/M2M Applications, Networks and Architectures","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Special section; Internet of Things; Focus (optics); Next-generation network; Machine to machine; Telecommunications; Computer network; The Internet; Computer security; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656314,0.0001388904,0.0001471147,0.0003136731,0.0008536971,0.0003401157,0.002171214,0.00007090659,0.000003366438],"category_scores_gemma":[0.000127978,0.0001089694,0.00003339267,0.0009078521,0.0002053212,0.0001619498,0.001227386,0.000280781,0.0001194218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276462,"about_ca_system_score_gemma":0.0001181822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693584,"about_ca_topic_score_gemma":0.00005321066,"domain_scores_codex":[0.998143,0.0003753346,0.0003028491,0.000403904,0.0003809263,0.0003939704],"domain_scores_gemma":[0.9957552,0.0006385021,0.00006672328,0.002804094,0.0005596697,0.0001757873],"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":[0.000007540234,0.00008588011,0.0002164676,0.000009474868,0.00001816436,9.263011e-7,0.0005557608,0.0004906101,0.0168822,0.01100612,0.1035658,0.867161],"study_design_scores_gemma":[0.0003631223,0.0001130856,0.001465694,0.00008376344,0.000006204367,0.00002100643,0.00001529158,0.1304359,0.0009690204,0.003801365,0.8624093,0.0003162454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009701198,0.001705333,0.9684078,0.01607143,0.0007711661,0.0005546264,0.000002815022,0.000199279,0.002586366],"genre_scores_gemma":[0.8241176,0.0007763733,0.1701678,0.0007445244,0.002856502,0.0004192794,0.00001177542,0.0000337764,0.0008723317],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8668448,"threshold_uncertainty_score":0.6566034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09506925430142182,"score_gpt":0.3602938328181397,"score_spread":0.2652245785167179,"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."}}