{"id":"W4244942342","doi":"10.1080/17440572.2018.1459365","title":"Corrigendum","year":2018,"lang":"en","type":"erratum","venue":"Global Crime","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Cybercrime; Political science; Business; Criminology; Sociology; Computer science; The Internet; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002640622,0.001366405,0.001786403,0.003824224,0.004624689,0.006004119,0.003570511,0.006154622,0.2391398],"category_scores_gemma":[0.0534279,0.0006818693,0.001563891,0.001974407,0.001591942,0.001797302,0.003170203,0.005607414,0.1536155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006294619,"about_ca_system_score_gemma":0.005740726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464504,"about_ca_topic_score_gemma":0.04738865,"domain_scores_codex":[0.9936008,0.0007409938,0.0005553549,0.0008386456,0.003715056,0.0005490552],"domain_scores_gemma":[0.9669971,0.003322262,0.0009649895,0.002065825,0.02522792,0.001421905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004081735,0.000003405022,0.00002685311,0.0000364002,0.000001964142,0.00006317337,0.00001243669,0.00001026159,0.0000104925,0.0003854143,0.9945851,0.004860579],"study_design_scores_gemma":[0.00000517952,0.00001357611,0.0003689924,0.0001480398,0.00001284635,0.0001522217,0.00008200016,0.00008088877,0.00008272277,0.0006948105,0.9983442,0.00001455177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001550219,0.001249063,0.000372718,0.04411811,0.9210036,0.00005025253,0.0009015336,0.0004798294,0.03166981],"genre_scores_gemma":[0.00556621,0.003671076,0.001476817,0.0577467,0.1216085,0.000202056,0.001669006,0.0008921411,0.8071675],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2391398,"threshold_uncertainty_score":0.8000024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073172068674563,"score_gpt":0.2802894914119285,"score_spread":0.2495577707251829,"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."}}