{"id":"W4321327471","doi":"10.1111/soc4.13077","title":"Computer crime motives: Do we have it right?","year":2023,"lang":"en","type":"article","venue":"Sociology Compass","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Collectivism; Cybercrime; Sociology; Individualism; Punitive damages; Criminology; Methodological individualism; Deterrence (psychology); Technological determinism; Determinism; Epistemology; Social psychology; Psychology; Law; Social science; Computer science; Political science; The Internet","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":[0.0003375048,0.0002223246,0.0003646601,0.0001339413,0.0004492615,0.00006115409,0.0009064457,0.0001286404,0.0001310143],"category_scores_gemma":[0.00001373598,0.0001885566,0.0001551806,0.0002212778,0.0003926321,0.000200851,0.000862078,0.0002494209,0.002074276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257268,"about_ca_system_score_gemma":0.00003758227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003801119,"about_ca_topic_score_gemma":0.000009345257,"domain_scores_codex":[0.9982454,0.0001705645,0.0002954695,0.0005204342,0.0001953792,0.000572779],"domain_scores_gemma":[0.9988508,0.000386201,0.00007709519,0.0005217601,0.00008113696,0.00008301401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000527281,0.00006009941,0.002376215,0.00001925024,0.0002083021,0.0000620003,0.01456273,0.0002074312,0.00007194578,0.500017,0.4778478,0.004561935],"study_design_scores_gemma":[0.001820052,0.0004715164,0.1156916,0.00008423371,0.00004842784,0.00002425597,0.002008859,0.04477168,0.0004890537,0.1427156,0.6908172,0.001057449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472592,0.002881414,0.5766415,0.1116035,0.008016206,0.001311428,0.00003726438,0.004709614,0.1475399],"genre_scores_gemma":[0.9914515,0.000237644,0.002607166,0.002395849,0.0003969096,0.00004090969,0.00001445391,0.00001479107,0.002840792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8441923,"threshold_uncertainty_score":0.9987027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732144776257614,"score_gpt":0.3023088917900105,"score_spread":0.2649874440274343,"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."}}