{"id":"W1542978675","doi":"10.1017/cbo9780511894879.006","title":"Trust laws in China","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Legal principles and applications","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"China; Law; Business; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183229,0.0001743813,0.0002183225,0.0001016562,0.0003652315,0.00004026866,0.0004943125,0.0003234239,0.00003393469],"category_scores_gemma":[0.000007515135,0.0002145622,0.0001225193,0.00001190232,0.0003291176,0.0001142551,0.0002059049,0.0003984006,0.00005583351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117228,"about_ca_system_score_gemma":0.0001573546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005898435,"about_ca_topic_score_gemma":0.0003494034,"domain_scores_codex":[0.9990207,0.00004123523,0.0001237885,0.0002706147,0.0002277845,0.0003158725],"domain_scores_gemma":[0.9992988,0.00003432965,0.0001203927,0.000310367,0.00004533489,0.0001908274],"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":[0.00000846204,0.000009619325,0.00002112606,0.00001092617,0.00001377653,0.00001869327,0.0005720519,5.519299e-7,0.000003333842,0.9906989,0.006815407,0.001827101],"study_design_scores_gemma":[0.0001786894,0.000005104008,0.0002611417,0.0000357084,0.00004277133,5.821728e-7,0.0001180422,0.000003798636,0.000008680798,0.00005235412,0.9990532,0.0002398906],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003253457,0.0001377719,0.00003496692,0.0001114866,0.0001166461,0.0003804644,0.0001305674,0.00008412788,0.9986786],"genre_scores_gemma":[0.02186109,0.0002506473,0.00003766195,0.00003797878,0.0002871354,0.000001084574,0.00001929208,0.00002033635,0.9774848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9922378,"threshold_uncertainty_score":0.8916708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937216985913259,"score_gpt":0.2396348428363066,"score_spread":0.210262672977174,"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."}}