{"id":"W2776599247","doi":"10.1080/17440572.2017.1411807","title":"Cybercrime is whose responsibility? A case study of an online behaviour system in crime","year":2017,"lang":"en","type":"article","venue":"Global Crime","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Mitacs","keywords":"Cybercrime; Exploit; Botnet; Enforcement; The Internet; Law enforcement; Business; Organised crime; Internet privacy; Social media; Computer security; Criminology; Political science; Law; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008077649,0.0003286972,0.0005909491,0.0001180938,0.0005394056,0.0002518003,0.001731985,0.0001029919,0.00001142864],"category_scores_gemma":[0.0001196066,0.0003069933,0.0001186455,0.0002602134,0.0001312259,0.001058033,0.001315953,0.0001831933,0.00002977068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632301,"about_ca_system_score_gemma":0.0001301071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1289499,"about_ca_topic_score_gemma":0.02041599,"domain_scores_codex":[0.9970606,0.0002487165,0.0007645151,0.0008584128,0.0005511986,0.0005165437],"domain_scores_gemma":[0.996263,0.00004771394,0.0002562375,0.00300479,0.0002407383,0.0001875346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226383,0.02778868,0.6925514,0.000544077,0.0006828246,0.05388751,0.06357951,0.00005997637,0.0008152027,0.09937866,0.004860261,0.05462554],"study_design_scores_gemma":[0.003455588,0.001815797,0.9746426,0.0001311778,0.0001390458,0.001144051,0.01584099,0.0009802036,0.0005868444,0.0003452775,0.0002973931,0.00062097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903628,0.0001333389,0.0001760752,0.00007922667,0.0003670518,0.0006941172,0.00008645908,0.000143649,0.007957288],"genre_scores_gemma":[0.9984114,0.000002419984,0.001185164,0.0001205674,0.00006084683,0.00002322387,0.000003702819,0.00001132852,0.0001813044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2820913,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06265974011671707,"score_gpt":0.3532602737960372,"score_spread":0.2906005336793201,"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."}}