{"id":"W2353945784","doi":"","title":"Civil Enforcement System of Canada","year":2002,"lang":"en","type":"article","venue":"Xiandai faxue","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debtor; Enforcement; Law; Business; Imprisonment; Order (exchange); Law enforcement; Political science; Creditor; Finance","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":[0.001675754,0.0004520512,0.0003259783,0.005231764,0.01341014,0.006324617,0.001725685,0.001320969,0.0255141],"category_scores_gemma":[0.008558035,0.0005174095,0.0004227539,0.005268464,0.002270072,0.0009638017,0.001480807,0.001991284,0.002801434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09063164,"about_ca_system_score_gemma":0.276698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917513,"about_ca_topic_score_gemma":0.9921114,"domain_scores_codex":[0.9931015,0.0003054618,0.0002462158,0.0005596607,0.003847225,0.001939969],"domain_scores_gemma":[0.9871523,0.000459256,0.0004234176,0.000313868,0.01020867,0.001442489],"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":[0.00005646118,0.00005357315,0.01238104,0.0002406066,0.00003806557,0.0006914969,0.001906835,0.001554225,0.0008003799,0.5084428,0.3643991,0.1094353],"study_design_scores_gemma":[0.00002589655,0.00001747529,0.02275905,0.0001961604,0.00003370619,0.0002237626,0.0007949382,0.001604474,0.0004531096,0.006349906,0.9674551,0.00008635188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04117778,0.005329535,0.007105291,0.02486114,0.0009185612,0.0007275082,0.01116722,0.00140874,0.9073042],"genre_scores_gemma":[0.425962,0.006922994,0.01188433,0.008588704,0.0002971367,0.0003218549,0.006688465,0.0002729413,0.5390616],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09063164,"threshold_uncertainty_score":0.6575817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138651616504463,"score_gpt":0.1666382853678097,"score_spread":0.145251769202765,"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."}}