{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004177201,0.0005323468,0.0002000253,0.001688141,0.002681014,0.01243609,0.001245123,0.003966373,0.02501517],"category_scores_gemma":[0.008465132,0.0004340295,0.0005015291,0.0006716003,0.007176094,0.01760062,0.008680756,0.003717362,0.003505577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139546,"about_ca_system_score_gemma":0.001895797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143338,"about_ca_topic_score_gemma":0.001743265,"domain_scores_codex":[0.9964652,0.00205881,0.0001151154,0.0004042066,0.0005936479,0.0003629333],"domain_scores_gemma":[0.9944795,0.003091945,0.0003630118,0.001033663,0.000485033,0.0005468384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002771173,0.00005825328,0.0007931817,0.0001575906,0.00001088133,0.0002078134,0.005270518,0.0002367518,0.0008746489,0.8737586,0.0221221,0.09648204],"study_design_scores_gemma":[0.00002170819,0.00007549486,0.0004486314,0.0005356526,0.00001621993,0.0003986824,0.003956491,0.00114803,0.001021115,0.2310211,0.7613323,0.00002456915],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02076275,0.005552053,0.08150178,0.06480492,0.003438591,0.0002113628,0.0001112299,0.001030718,0.8225866],"genre_scores_gemma":[0.7284521,0.007827359,0.05906958,0.01967391,0.002516563,0.0004838094,0.0001760529,0.0006449666,0.1811556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02501517,"threshold_uncertainty_score":0.08368409,"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."}}