{"id":"W7155029760","doi":"10.1109/synasc69064.2025.00066","title":"Applied Metaheuristic Hyperparameter Tuning: Machine Learning in Internet of Things Cybersecurity","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"European Commission","keywords":"Hyperparameter; Internet of Things; Key (lock); Metaheuristic; The Internet","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":[0.00189734,0.0005919326,0.0009762262,0.0009774021,0.0004508366,0.0014983,0.001109725,0.001745954,0.00170059],"category_scores_gemma":[0.005681455,0.000351308,0.0007343195,0.001032187,0.0006452472,0.001138103,0.0007823164,0.00146771,0.0001971309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000966182,"about_ca_system_score_gemma":0.0009322292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004537832,"about_ca_topic_score_gemma":0.003485169,"domain_scores_codex":[0.999357,0.0003791295,0.00002762747,0.00008463405,0.00009072205,0.00006077068],"domain_scores_gemma":[0.9985042,0.001088849,0.00008884037,0.0001042012,0.0001720518,0.00004200474],"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":[0.00006007733,0.00006546438,0.0005662107,0.00004484359,0.00007343349,0.00002478249,0.00002400991,0.962502,0.0004589998,0.004768177,0.0007444876,0.03066749],"study_design_scores_gemma":[0.000008640747,0.00001336788,0.0000730879,0.000008120592,0.000006809329,0.00000590669,0.00001018736,0.9965137,0.0001770878,0.002957093,0.0002236112,0.000002477552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1298989,0.002635622,0.8556545,0.001259284,0.0003451857,0.0001166475,0.00009263086,0.0005118688,0.009485278],"genre_scores_gemma":[0.8673874,0.0004121763,0.1289532,0.0002658514,0.00008576728,0.0001049461,0.0000713247,0.0001043819,0.002614995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004537832,"threshold_uncertainty_score":0.0100342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583136935533287,"score_gpt":0.2568685905176738,"score_spread":0.2410372211623409,"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."}}