{"id":"W4366721599","doi":"10.1155/2023/2558469","title":"SecureMed: A Blockchain-Based Privacy-Preserving Framework for Internet of Medical Things","year":2023,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Computer security; Cloud computing; Computer network; The Internet; Authentication (law); Edge computing; Scalability; Provisioning; Information privacy; Internet of Things; World Wide Web; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873965,0.0004077099,0.0005786747,0.0005310729,0.001204478,0.001404737,0.001563165,0.001172587,0.005704739],"category_scores_gemma":[0.00277645,0.0003327984,0.0005005684,0.0006802839,0.001199399,0.002726117,0.002965797,0.00130019,0.000999696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009351149,"about_ca_system_score_gemma":0.003115941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003361264,"about_ca_topic_score_gemma":0.00428011,"domain_scores_codex":[0.9986914,0.0003754223,0.00009455455,0.0001561283,0.0005013353,0.0001811938],"domain_scores_gemma":[0.998869,0.0003675591,0.0001225877,0.0003260629,0.0001599058,0.0001547852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008190693,0.0003022691,0.002321208,0.0005461097,0.0001161717,0.001605276,0.000669886,0.3459327,0.01850549,0.4153236,0.01203829,0.2018199],"study_design_scores_gemma":[0.0001478286,0.0001676677,0.0002856111,0.00006343939,0.00002577749,0.0003331613,0.00008107834,0.8415633,0.007268097,0.1110173,0.03900176,0.00004499917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01488004,0.0004387143,0.9747493,0.0006509126,0.0001186896,0.0004552318,0.0002847166,0.001697159,0.006725217],"genre_scores_gemma":[0.7495687,0.0008998667,0.2360966,0.0002635639,0.0001006019,0.0006266993,0.000804269,0.0001460156,0.01149369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005704739,"threshold_uncertainty_score":0.01908422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731111820317864,"score_gpt":0.3100113375423831,"score_spread":0.2827002193392045,"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."}}