{"id":"W2530321778","doi":"10.5539/ass.v12n11p79","title":"Juridical Study of Crimes Committed with Computer","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ignorance; Categorization; Property (philosophy); Class (philosophy); Order (exchange); Realization (probability); Computer fraud; Law; Business; Psychology; Law and economics; Internet privacy; Computer security; Political science; Sociology; Computer science; Epistemology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475215,0.0001029968,0.0001747451,0.00007638861,0.0005146085,0.00006374449,0.001070145,0.00001982095,0.00001324461],"category_scores_gemma":[0.00001388432,0.00005849299,0.00002987021,0.0007802005,0.0007649558,0.0005158508,0.0004812768,0.00004827767,0.00001629446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003969232,"about_ca_system_score_gemma":0.0001082772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019611,"about_ca_topic_score_gemma":0.00004241175,"domain_scores_codex":[0.9984375,0.00004314347,0.0001819957,0.0003428244,0.0006832485,0.0003112606],"domain_scores_gemma":[0.9993734,0.00004776057,0.00007763469,0.0002910862,0.0001360633,0.00007400886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002032859,0.0006626085,0.011789,0.000005858162,0.00004765355,0.00001582033,0.01954463,2.457702e-7,0.001475414,0.2914565,0.002937343,0.6720446],"study_design_scores_gemma":[0.002084075,0.001710552,0.98478,0.00003939731,0.00002147772,0.000005633729,0.00194956,0.0000575685,0.002987381,0.001434259,0.00453413,0.0003960391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346743,0.0000167226,0.1839075,0.004787091,0.0004587542,0.0006158907,0.000002635791,0.0002670642,0.2752701],"genre_scores_gemma":[0.9981452,9.38309e-7,0.001502359,0.0001473911,0.00007298557,0.000006886897,5.500813e-8,0.000003229247,0.000121002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9729909,"threshold_uncertainty_score":0.3958004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153925301247058,"score_gpt":0.2693863948437922,"score_spread":0.2539938647190864,"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."}}