{"id":"W3092127545","doi":"10.6000/1929-4409.2020.09.20","title":"The Role and Place of Covid-19: An Opportunistic Avenue for Exponential World’s Upsurge in Cyber Crime","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Pandemic; Cyberspace; Coronavirus disease 2019 (COVID-19); Cybercrime; Criminology; Crisis management; Political science; Resilience (materials science); Law; Development economics; Sociology; The Internet; Geography; Economics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004097126,0.000366313,0.0003084886,0.002575106,0.008795423,0.009973316,0.001285005,0.002494299,0.008063967],"category_scores_gemma":[0.01157814,0.000347581,0.0003364599,0.001544873,0.01954684,0.01355886,0.008364954,0.003357392,0.0007325934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841457,"about_ca_system_score_gemma":0.00393346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166457,"about_ca_topic_score_gemma":0.007580523,"domain_scores_codex":[0.9964929,0.002133763,0.00009291806,0.0003359425,0.0003954903,0.0005490286],"domain_scores_gemma":[0.9922789,0.002806328,0.002090681,0.001018394,0.0005877838,0.001217904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000321731,0.0002647517,0.1226163,0.0005132194,0.00008516897,0.004148447,0.2219076,0.0004612402,0.001085382,0.4949892,0.01525505,0.1383519],"study_design_scores_gemma":[0.00002155195,0.0003599344,0.0484619,0.002465937,0.00006767477,0.005049496,0.6072279,0.0008507482,0.001018047,0.1275861,0.2067746,0.0001160216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7212862,0.008591381,0.008714059,0.05746249,0.0009047554,0.0001170128,0.0001736845,0.00008656918,0.2026639],"genre_scores_gemma":[0.995359,0.001270431,0.0006669814,0.0008558223,0.00009454744,0.00001393113,0.00002067911,0.00001481214,0.001703829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009973316,"threshold_uncertainty_score":0.02697664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804242197884655,"score_gpt":0.3416399764879188,"score_spread":0.2735975545090723,"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."}}