{"id":"W6989972661","doi":"","title":"China publishes addresses of corruption suspects abroad","year":2017,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; China; Newspaper; State (computer science); Language change; White (mutation)","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":[0.001203647,0.0006915188,0.0003103799,0.009678549,0.002393641,0.001991201,0.0004418508,0.0008011696,0.04354205],"category_scores_gemma":[0.003771982,0.0003663054,0.000174862,0.01007464,0.0007690562,0.001781484,0.002004832,0.0008105012,0.01602403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043006,"about_ca_system_score_gemma":0.0026824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00948717,"about_ca_topic_score_gemma":0.0113966,"domain_scores_codex":[0.9992888,0.000078123,0.0000607914,0.00006718946,0.0004010392,0.0001039956],"domain_scores_gemma":[0.9957111,0.0005435907,0.0009125353,0.0007191154,0.001504515,0.0006091591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001416305,0.0001175584,0.056503,0.0006718088,0.00003176426,0.001774422,0.01122655,0.0002066844,0.004340354,0.01130978,0.6532371,0.2604393],"study_design_scores_gemma":[0.00001336335,0.0000584089,0.06194695,0.0001631612,0.00003387673,0.000507392,0.003023053,0.0003529721,0.003845423,0.0006058628,0.9293969,0.00005254483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1989426,0.004489074,0.001336109,0.008788363,0.005261928,0.000368989,0.0526402,0.00212142,0.7260513],"genre_scores_gemma":[0.360662,0.009615778,0.002625383,0.001913803,0.00322484,0.0002347129,0.047063,0.000687946,0.5739726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04354205,"threshold_uncertainty_score":0.1456627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910673207936279,"score_gpt":0.2737054640338261,"score_spread":0.2545987319544633,"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."}}