{"id":"W2377200294","doi":"","title":"The Innovation of Enforcement System —— Comparasion of forensic enforcement system between China and Canada","year":2003,"lang":"en","type":"article","venue":"Journal of Jinan University","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Contempt; Legislation; China; Business; Law enforcement; Computer security; Law; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002380429,0.0001865409,0.0003221474,0.002894186,0.004252313,0.00237245,0.001054738,0.0004074688,0.00333259],"category_scores_gemma":[0.008863292,0.0001937424,0.0003317935,0.003976732,0.001966655,0.0008185565,0.001378314,0.0006564463,0.0001753332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05225781,"about_ca_system_score_gemma":0.06829788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675469,"about_ca_topic_score_gemma":0.9816757,"domain_scores_codex":[0.9951474,0.0003458351,0.0001631645,0.0004987566,0.002264943,0.001579977],"domain_scores_gemma":[0.9902973,0.000693953,0.001141474,0.0004454725,0.006097036,0.001324775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004728419,0.00008013233,0.8599628,0.0001888164,0.0001479914,0.0009375307,0.008579594,0.001310984,0.002148546,0.02084709,0.0117553,0.09356848],"study_design_scores_gemma":[0.00002417773,0.00004449558,0.9706382,0.0000561924,0.00006028806,0.0001682413,0.006636613,0.001104479,0.0008499884,0.0003756988,0.01999775,0.00004380966],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734333,0.0007475171,0.0005221298,0.002251373,0.00004680508,0.00009513188,0.0007793594,0.00005016231,0.02207423],"genre_scores_gemma":[0.9961117,0.0001969023,0.0001977252,0.0002248631,0.000006298927,0.000008671332,0.0002453513,0.00001128918,0.002997207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05225781,"threshold_uncertainty_score":0.3791587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007321298123487409,"score_gpt":0.1704190010603664,"score_spread":0.163097702936879,"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."}}