{"id":"W3140909898","doi":"10.1109/lnet.2021.3070270","title":"IoT-Based Smart Home Device Monitor Using Private Blockchain Technology and Localization","year":2021,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Trilateration; Popularity; Computer security; Internet of Things; Computer science; Cryptography; Wireless; Computer network; Home automation; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006825185,0.0002859004,0.0003737482,0.0003282827,0.0007182132,0.0007966991,0.0008452845,0.0006113534,0.003172862],"category_scores_gemma":[0.001340872,0.0002211061,0.0001966662,0.0003594627,0.0005395624,0.001706815,0.0009087208,0.0004595713,0.0007178673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799087,"about_ca_system_score_gemma":0.0008098215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105118,"about_ca_topic_score_gemma":0.002080769,"domain_scores_codex":[0.999278,0.0002053218,0.00004253582,0.0001483081,0.0002424854,0.00008328268],"domain_scores_gemma":[0.9990448,0.0002327507,0.0001266548,0.0002932583,0.0002316344,0.00007087058],"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":[0.001567859,0.0007284527,0.01212392,0.0003502522,0.0001332558,0.001097275,0.0008947198,0.2277364,0.3109122,0.07915693,0.004978707,0.36032],"study_design_scores_gemma":[0.0001414553,0.0005982781,0.001247335,0.00003039414,0.00005654731,0.000561577,0.00008251047,0.8649417,0.1053265,0.01563267,0.0113385,0.00004251425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1856586,0.0001659194,0.8009878,0.0003468974,0.00005759177,0.000224092,0.0001180517,0.001823649,0.01061752],"genre_scores_gemma":[0.9440036,0.00005317342,0.05162188,0.0000387098,0.00001168297,0.00008627285,0.00005977171,0.00002593567,0.004098824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003172862,"threshold_uncertainty_score":0.01061434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116425147527262,"score_gpt":0.20310965149186,"score_spread":0.1919454000165874,"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."}}