{"id":"W4399178597","doi":"10.1504/ijahuc.2024.138743","title":"Energy efficient random forest classifier-based secure routing for opportunistic internet of things","year":2024,"lang":"en","type":"article","venue":"International Journal of Ad Hoc and Ubiquitous Computing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Random forest; Internet of Things; Classifier (UML); Computer network; The Internet; Artificial intelligence; Computer security; World Wide Web","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":[0.001163636,0.0005944867,0.0008655293,0.0006646427,0.0006358336,0.0005007631,0.0009487921,0.000657413,0.0007050232],"category_scores_gemma":[0.002312731,0.0001835979,0.0005123743,0.0005276715,0.0002920019,0.0010164,0.0004365518,0.0006321842,0.0002560894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006734543,"about_ca_system_score_gemma":0.000990423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006130356,"about_ca_topic_score_gemma":0.008341965,"domain_scores_codex":[0.9995344,0.00008592742,0.00002808945,0.00008607801,0.0001651769,0.000100355],"domain_scores_gemma":[0.9989632,0.0004753578,0.0001314651,0.00009948729,0.0002913819,0.00003901961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002759855,0.0002229791,0.003790412,0.00007988431,0.00008981703,0.000197253,0.00005519489,0.7338124,0.008201471,0.00544404,0.005647041,0.2421834],"study_design_scores_gemma":[0.000005979493,0.00004804692,0.0002591501,0.000002776043,0.000009136788,0.00003649094,0.000007198696,0.9972223,0.0007762845,0.001335319,0.0002923244,0.000004954944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1123572,0.0008542207,0.8815633,0.0004896441,0.0002063674,0.0001688375,0.0002720457,0.001496114,0.002592241],"genre_scores_gemma":[0.9006407,0.0002516788,0.09696256,0.0001185985,0.00005871231,0.00008956026,0.000444571,0.00003788626,0.001395739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006130356,"threshold_uncertainty_score":0.01218939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538110994142056,"score_gpt":0.2562886796460946,"score_spread":0.2409075697046741,"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."}}