{"id":"W4412621740","doi":"10.2139/ssrn.5359448","title":"&lt;p&gt;Threat Onboarding and Response (TOR): Automating Cybersecurity in Enterprise Networks&lt;/p&gt;","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Onboarding; Computer security; Computer science; Psychology; Social psychology","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":[0.001628801,0.0006091247,0.0004480631,0.0009993716,0.001374706,0.003898693,0.0006535109,0.002193361,0.07284193],"category_scores_gemma":[0.002950223,0.0003183496,0.0003215806,0.0009360299,0.001514626,0.00272753,0.0009541529,0.001287659,0.03126185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549134,"about_ca_system_score_gemma":0.002179065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02699248,"about_ca_topic_score_gemma":0.0313259,"domain_scores_codex":[0.9992606,0.0001551498,0.00002897621,0.0001437774,0.0002917938,0.000119708],"domain_scores_gemma":[0.9984329,0.000626117,0.00009619504,0.0001937919,0.0004267357,0.0002242871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002148759,0.00008674149,0.001291473,0.0001634163,0.00001401981,0.0002513093,0.0002024866,0.004121822,0.003331828,0.03494487,0.532479,0.4228982],"study_design_scores_gemma":[0.00008106202,0.0002738657,0.004040247,0.000165896,0.00002987445,0.0003757382,0.0004494732,0.04256062,0.01550464,0.04277052,0.8936899,0.00005815145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01840893,0.004694622,0.09394214,0.06015213,0.009223153,0.0004979859,0.002464211,0.009620084,0.8009968],"genre_scores_gemma":[0.1793599,0.006250499,0.03337914,0.004153064,0.00173148,0.0001093491,0.001564856,0.001925987,0.7715257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07284193,"threshold_uncertainty_score":0.2436806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004278213927849562,"score_gpt":0.2254095302825373,"score_spread":0.2211313163546878,"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."}}