{"id":"W1948026143","doi":"","title":"Secured Transactions Under China and US Law","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Collateral; Uniform Commercial Code; Security interest; Flexibility (engineering); Business; Law; Process (computing); Point (geometry); Enforcement; Law enforcement; Database transaction; Computer security; Law and economics; Computer science; Finance; Economics; Political science; Database; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00193889,0.0001834147,0.0002405864,0.001441035,0.002219036,0.003161229,0.0003881923,0.001078215,0.004146925],"category_scores_gemma":[0.00413868,0.0001096984,0.0002535917,0.00262699,0.004853047,0.002234661,0.001575409,0.001023284,0.0001934464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008139716,"about_ca_system_score_gemma":0.01043187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1430519,"about_ca_topic_score_gemma":0.09657419,"domain_scores_codex":[0.9967155,0.0004888118,0.000207173,0.0004027834,0.001280727,0.0009048833],"domain_scores_gemma":[0.9978201,0.0003859405,0.0006481681,0.0003048612,0.0006024227,0.0002384248],"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":[0.00006120837,0.00002677614,0.03958135,0.00006373994,0.0000189117,0.0006007618,0.003934759,0.0009675482,0.0005745749,0.9097871,0.008044761,0.03633849],"study_design_scores_gemma":[0.0001032347,0.0002399339,0.3512918,0.0004779752,0.0001179386,0.001140762,0.007820782,0.01216923,0.002843045,0.2089253,0.414727,0.0001429633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6428493,0.004168003,0.002452599,0.009788384,0.0001249643,0.0001025557,0.00061019,0.00007585689,0.3398282],"genre_scores_gemma":[0.9875247,0.0009959805,0.0004300494,0.0007353568,0.00005282104,0.00003259369,0.0001345058,0.000005273439,0.01008859],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1430519,"threshold_uncertainty_score":0.2844385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222283589815314,"score_gpt":0.2154980173082262,"score_spread":0.1932696583266948,"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."}}