{"id":"W4384038320","doi":"10.1002/9781394226344.ch2","title":"The SARS‐CoV‐2 Pandemic Crisis and the Evolution of Cybercrime in the United States and Canada","year":2023,"lang":"en","type":"other","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cybercrime; Pandemic; Criminology; Coronavirus disease 2019 (COVID-19); Political science; China; Latin Americans; Geography; Sociology; Law; Medicine; The Internet; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001227852,0.0003286573,0.0003772053,0.005596722,0.009392382,0.009244366,0.001127386,0.001046363,0.00481164],"category_scores_gemma":[0.004773496,0.0002197932,0.000418985,0.01337057,0.00544726,0.002370742,0.002011831,0.001709277,0.0002551275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1193164,"about_ca_system_score_gemma":0.2304485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945949,"about_ca_topic_score_gemma":0.997324,"domain_scores_codex":[0.9986389,0.0001576548,0.00005747172,0.00011787,0.0005672618,0.0004607466],"domain_scores_gemma":[0.9948331,0.0008407687,0.0004342901,0.0000843285,0.002902837,0.0009047321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001635145,0.0001355393,0.1297751,0.005446736,0.0002264472,0.003935239,0.1387783,0.002034393,0.0007817555,0.2106166,0.1902234,0.3178828],"study_design_scores_gemma":[0.000014425,0.00003594701,0.1497167,0.007620404,0.0001685756,0.0006313968,0.3156191,0.0005609725,0.0005124679,0.006488271,0.5184982,0.0001335656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2593184,0.3212753,0.0005656578,0.1085705,0.001404725,0.0001479551,0.004471906,0.00008521968,0.3041604],"genre_scores_gemma":[0.6587683,0.314186,0.0005875777,0.007275311,0.0001985292,0.0000419264,0.0009502682,0.00003997403,0.01795216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1193164,"threshold_uncertainty_score":0.8657054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487569770259656,"score_gpt":0.244500494596849,"score_spread":0.2296247968942525,"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."}}