{"id":"W4396857277","doi":"10.3390/info15050273","title":"Insights into Cybercrime Detection and Response: A Review of Time Factor","year":2024,"lang":"en","type":"review","venue":"Information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Phishing; Cybercrime; Exploit; Computer security; Computer science; Identity theft; Hacker; Resilience (materials science); Blacklisting; Intrusion detection system; Malware; Process (computing); Scalability; Interoperability; Information exchange; The Internet; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003766033,0.0002211457,0.0006243797,0.0004637739,0.00007319744,0.0001379985,0.0002979301,0.0002210329,0.00001646542],"category_scores_gemma":[0.0001444882,0.0001678918,0.0001806994,0.0008203276,0.00002725923,0.001893885,0.0002207646,0.000296136,0.0006638971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127356,"about_ca_system_score_gemma":0.0001484872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000197522,"about_ca_topic_score_gemma":0.00000403788,"domain_scores_codex":[0.9984037,0.0002161536,0.0008329434,0.0001723346,0.0002732444,0.0001016824],"domain_scores_gemma":[0.9989422,0.0001131853,0.0004070098,0.0003649054,0.000119836,0.00005286367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003597301,0.000002599308,1.271564e-9,0.05088579,0.00001758288,4.277454e-7,0.0004071312,6.240258e-8,0.000003234451,0.0002817513,0.0005708613,0.947827],"study_design_scores_gemma":[0.0000307041,0.00008735455,5.829341e-7,0.05413037,0.00009776848,0.00003553312,0.000001317444,0.0008227834,0.00002378686,0.0003016003,0.9443097,0.000158468],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001020468,0.9898443,0.008480965,0.00003611645,0.0004665167,0.0005386248,0.000004483041,0.0001350684,0.0004837215],"genre_scores_gemma":[0.00002223542,0.9994017,0.000293685,0.0001095928,0.00005090198,0.00004398027,0.00001831107,0.000007309585,0.0000523138],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9476685,"threshold_uncertainty_score":0.8533275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715233767305687,"score_gpt":0.2828954164624184,"score_spread":0.2657430787893615,"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."}}