{"id":"W4307182193","doi":"10.36227/techrxiv.21341796","title":"Internet of Everything: Enabling Technologies, Applications, Security and Challenges","year":2022,"lang":"en","type":"preprint","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université de Montréal","funders":"","keywords":"Interoperability; Computer science; Provisioning; Key (lock); Computer security; Implementation; The Internet; World Wide Web; Telecommunications; Software 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005432536,0.0001857683,0.0002873657,0.0002341583,0.00008032115,0.00009749494,0.001739273,0.000190476,0.000004009804],"category_scores_gemma":[0.00003992792,0.0001840077,0.00006261505,0.0001714908,0.00005907724,0.0001004478,0.01156486,0.0006750782,0.000002150338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005519263,"about_ca_system_score_gemma":0.00008051458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008081192,"about_ca_topic_score_gemma":0.000001724081,"domain_scores_codex":[0.9985355,0.0000488911,0.0003138557,0.0006751819,0.0002189645,0.000207588],"domain_scores_gemma":[0.9986303,0.0001253627,0.0002351675,0.0009166245,0.00006368027,0.00002889396],"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":[0.000003377753,0.0001305177,0.0006023271,0.00139735,0.00008869969,0.000008046961,0.006884548,0.00003002767,0.00003119097,0.1159182,0.001867809,0.8730379],"study_design_scores_gemma":[0.0002615369,0.0001069932,0.0003075404,0.0002521576,0.00002496839,0.00003889298,0.001414138,0.07914592,0.002403731,0.2392106,0.6759225,0.0009111144],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01489854,0.158267,0.7750645,0.00948094,0.008997669,0.001642826,0.000002266628,0.004091226,0.02755501],"genre_scores_gemma":[0.7762185,0.03669581,0.1846913,0.0001950741,0.001031913,0.0004843042,0.00003250694,0.00005560493,0.0005950399],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8721268,"threshold_uncertainty_score":0.9964294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302196017733339,"score_gpt":0.259284022385051,"score_spread":0.2062620622077176,"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."}}