{"id":"W3101341489","doi":"10.1080/17440572.2020.1750789","title":"Introducing digital vigilantism","year":2020,"lang":"en","type":"article","venue":"Global Crime","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Politics; Political science; Internet privacy; Law and economics; Public relations; Political economy; Computer security; Business; Criminology; Sociology; Law; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001047413,0.0001146927,0.0001497714,0.00000968516,0.0002076342,0.0002135889,0.0003464001,0.00008099519,0.0002413018],"category_scores_gemma":[0.0003516097,0.0001130065,0.00007804636,0.0002133049,0.0001944233,0.00038449,0.00007518685,0.0001122684,0.001183731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009619109,"about_ca_system_score_gemma":0.0001118865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008133713,"about_ca_topic_score_gemma":0.00003370287,"domain_scores_codex":[0.9986447,0.00005411747,0.0001689706,0.0002978651,0.0003480306,0.0004863155],"domain_scores_gemma":[0.9993438,0.0000349791,0.00003559812,0.0001350836,0.00005285841,0.0003977272],"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":[0.0002085672,0.0003234213,0.105465,0.0001215938,0.0001492972,0.0003885649,0.250253,0.00001662815,0.0004151855,0.204108,0.2525075,0.1860432],"study_design_scores_gemma":[0.0007453908,0.0003028001,0.03140287,0.00009266554,0.00006393576,0.00001465643,0.1137206,0.0001586288,0.0001529522,0.01011315,0.8422287,0.001003577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7421356,0.0003712765,0.003411247,0.02453589,0.001526499,0.0002291633,0.0001927116,0.0005583338,0.2270393],"genre_scores_gemma":[0.9947826,0.00001754024,0.00003074269,0.003450415,0.001505762,0.00000223084,0.00000638251,0.000006179347,0.0001981902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5897212,"threshold_uncertainty_score":0.999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621209881363615,"score_gpt":0.3139587496969017,"score_spread":0.2877466508832655,"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."}}