{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007033599,0.002160099,0.00267664,0.01332161,0.001035,0.004921667,0.002281528,0.003386843,0.003790073],"category_scores_gemma":[0.02201592,0.001140889,0.001735538,0.01179675,0.004249905,0.01087662,0.001859056,0.003976866,0.001521297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004313351,"about_ca_system_score_gemma":0.00499275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004837383,"about_ca_topic_score_gemma":0.004439991,"domain_scores_codex":[0.9967504,0.001060654,0.0004851506,0.0005531397,0.0009918071,0.0001589546],"domain_scores_gemma":[0.9544123,0.03784925,0.002498417,0.0007226479,0.004040349,0.0004770438],"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":[0.0001235508,0.0001576495,0.002155206,0.02974332,0.0002715877,0.0001839206,0.001167649,0.002204766,0.0005009957,0.05950011,0.01803413,0.8859571],"study_design_scores_gemma":[0.00003212448,0.0004289649,0.006436454,0.06762072,0.000620565,0.001320363,0.002819545,0.00265936,0.0008445794,0.06226341,0.8547385,0.0002152873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000300313,0.9935758,0.001792898,0.001849438,0.0004207894,0.00001685717,0.00002397767,0.00001535032,0.002004736],"genre_scores_gemma":[0.005917965,0.9902344,0.001661973,0.0009652547,0.0007321384,0.00003250457,0.00003862555,0.00001255417,0.0004047363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01332161,"threshold_uncertainty_score":0.03719771,"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."}}