{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001363181,0.0003934954,0.0004110244,0.00004777765,0.0002668976,0.0002229052,0.001877042,0.000318639,0.0002954001],"category_scores_gemma":[0.00002686521,0.0003534646,0.000203372,0.0003490726,0.000123269,0.0002289561,0.001271059,0.0003122799,0.003772426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124301,"about_ca_system_score_gemma":0.0002634455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006951755,"about_ca_topic_score_gemma":0.0001141202,"domain_scores_codex":[0.9977824,0.00003779111,0.0003174608,0.0006971238,0.000561151,0.0006040672],"domain_scores_gemma":[0.9984251,0.000007575258,0.0001355321,0.001115333,0.0001814748,0.0001349486],"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":[0.000001913289,0.00001946967,0.00001417062,0.000020593,0.00007998574,0.0000204944,0.00004826353,4.309964e-8,3.937198e-7,0.0685385,0.9288105,0.002445692],"study_design_scores_gemma":[0.0001179458,0.0001091724,0.001077367,0.00005503229,0.00004714404,0.00001531681,0.000007683634,0.0001010367,0.00001077743,0.004001361,0.9940623,0.0003948767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002623425,0.002425611,0.01083103,0.0002375667,0.1035258,0.0001469798,0.00005271086,0.000356294,0.8824214],"genre_scores_gemma":[0.0006662898,0.0003168421,0.00208112,0.002714727,0.004965162,0.00002312233,0.0001513274,0.00002304017,0.9890584],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.106637,"threshold_uncertainty_score":0.9998918,"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."}}