{"id":"W4366283699","doi":"10.3390/electronics12081901","title":"Security and Internet of Things: Benefits, Challenges, and Future Perspectives","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Computer security; Internet of Things; Vulnerability (computing); Computer science; Authorization; Authentication (law); Secrecy; Internet privacy; Business","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":[0.0002613968,0.00009097573,0.0001249239,0.00007630031,0.00005145077,0.00004034248,0.0002326422,0.00005523489,4.539725e-7],"category_scores_gemma":[0.00001320345,0.00008559467,0.00002194234,0.0001751943,0.00002973798,0.0002087781,0.0002847725,0.0001788689,0.000002587547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002306685,"about_ca_system_score_gemma":0.0000332674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004453013,"about_ca_topic_score_gemma":0.000004606486,"domain_scores_codex":[0.9992404,0.00002672371,0.00009638547,0.0002681658,0.0001081496,0.0002601603],"domain_scores_gemma":[0.9996543,0.00005032475,0.00004637085,0.0001679972,0.00004032163,0.0000406994],"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":[0.000006094408,0.00002869078,0.0001086558,0.00007076804,0.00003826794,0.000004605324,0.09569076,0.000001380279,0.00007684853,0.3184172,0.001479536,0.5840772],"study_design_scores_gemma":[0.001833553,0.001843332,0.02872035,0.0002613722,0.00004786769,0.0002329656,0.009737076,0.2393821,0.004750569,0.1823192,0.5294034,0.001468253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5838923,0.4064342,0.0008720429,0.004524649,0.001353606,0.0001181106,1.884632e-7,0.0003101619,0.002494664],"genre_scores_gemma":[0.891308,0.1050649,0.001891874,0.000110488,0.001489643,0.000003684517,0.000002431613,0.0000186887,0.0001103177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5826089,"threshold_uncertainty_score":0.3490449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120349233772651,"score_gpt":0.2220588969907432,"score_spread":0.2108554046530167,"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."}}