{"id":"W4411377215","doi":"10.1080/17440572.2025.2517027","title":"Extending drift theory to cybercrime forum participation: the case of digital workers","year":2025,"lang":"en","type":"article","venue":"Global Crime","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal","keywords":"Cybercrime; Business; Public relations; Political science; Internet privacy; Computer science; The Internet; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01349676,0.0004362134,0.0006070576,0.003603879,0.007836179,0.006484732,0.001645743,0.002662729,0.005433057],"category_scores_gemma":[0.026237,0.0003176905,0.0006258091,0.002305046,0.01158804,0.00939295,0.007596863,0.002647518,0.0005511999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328925,"about_ca_system_score_gemma":0.002572815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034446,"about_ca_topic_score_gemma":0.004361019,"domain_scores_codex":[0.9902913,0.006200562,0.000232723,0.0008433392,0.00114133,0.001290794],"domain_scores_gemma":[0.9780612,0.01436596,0.002843216,0.001961609,0.00118049,0.001587401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003458594,0.0004008005,0.09760252,0.0002456724,0.00003385686,0.004156645,0.43296,0.002041389,0.001379375,0.3943379,0.002736104,0.06375985],"study_design_scores_gemma":[0.0001537833,0.0003411501,0.0465534,0.0007378933,0.00005111209,0.00422845,0.4764576,0.01878187,0.001410012,0.3751502,0.07598286,0.0001517751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869624,0.0009227117,0.04696981,0.006934634,0.0001325095,0.0003052261,0.0001415912,0.00004188923,0.07492771],"genre_scores_gemma":[0.9946887,0.000180731,0.002762359,0.0002253667,0.00004200192,0.00009458177,0.00002727326,0.00001047926,0.001968447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349676,"threshold_uncertainty_score":0.07137853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616988812331348,"score_gpt":0.3149933435741258,"score_spread":0.2988234554508123,"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."}}