{"id":"W3123934490","doi":"","title":"Say on Purpose: Lessons from Chinese Corporate Charters","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Corporation; Function (biology); Corporate law; China; Business; State (computer science); Public relations; Law and economics; Corporate governance; Empirical research; Political science; Accounting; Management; Economics; Law; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006145942,0.0004085038,0.0004683598,0.001982861,0.006503133,0.005680326,0.001131498,0.001814135,0.003993401],"category_scores_gemma":[0.01126136,0.0002239974,0.0003067319,0.002915374,0.0157982,0.008173053,0.00253369,0.003136472,0.0003124037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009513966,"about_ca_system_score_gemma":0.01038421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07866611,"about_ca_topic_score_gemma":0.09115073,"domain_scores_codex":[0.9976338,0.001047716,0.0000971278,0.0002309174,0.0005561677,0.0004341925],"domain_scores_gemma":[0.9924467,0.004847176,0.0005037241,0.0006108164,0.001246425,0.000345222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004068911,0.00002457149,0.007473218,0.00008646923,0.000007177871,0.0008090194,0.1111406,0.0003043815,0.0001677272,0.8525915,0.005377626,0.02197705],"study_design_scores_gemma":[0.0000699713,0.0001110071,0.05830707,0.0009428464,0.00009192162,0.0004292034,0.2085517,0.004975559,0.001644441,0.4744164,0.25033,0.0001299786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4356159,0.003446765,0.00670873,0.03728496,0.0003592796,0.0001576408,0.0001847728,0.00006275728,0.5161792],"genre_scores_gemma":[0.9849621,0.001118626,0.0008928673,0.001042541,0.0001152016,0.00003114381,0.00007044047,0.00002254367,0.01174464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07866611,"threshold_uncertainty_score":0.1564164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195232196168753,"score_gpt":0.2150381761987598,"score_spread":0.2030858542370722,"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."}}