{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006448919,0.0002642581,0.0002785202,0.0001510861,0.0001960787,0.0003266901,0.0004166023,0.00007852752,0.0005752827],"category_scores_gemma":[0.00002742728,0.0002082807,0.0001556065,0.0003906306,0.00002821098,0.001020219,0.00006953812,0.001268061,0.003533654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920896,"about_ca_system_score_gemma":0.0003633106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004999373,"about_ca_topic_score_gemma":0.001675463,"domain_scores_codex":[0.9974712,0.00001474709,0.0002779544,0.0003165898,0.0003879664,0.001531603],"domain_scores_gemma":[0.9988731,0.00002737688,0.0006906434,0.0002920701,0.0000945447,0.00002229949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004786822,0.0002302119,0.1321938,0.00002588806,0.0002683158,0.00004530204,0.00005844203,0.0001842311,0.004796439,0.8102561,0.004229392,0.04723322],"study_design_scores_gemma":[0.003072564,0.0001822139,0.07418209,0.0001308431,0.00009355631,0.00005049656,0.0006227506,0.0009899208,0.00005569889,0.8175529,0.1022444,0.000822634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829661,0.0004185324,0.0002524947,0.004490849,0.0009904498,0.0001868075,0.000005542267,0.00007011287,0.01061906],"genre_scores_gemma":[0.9896563,0.000417152,0.000006629909,0.002638307,0.002234257,0.000004739559,0.00003533089,0.00004600913,0.004961325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.098015,"threshold_uncertainty_score":0.9972422,"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."}}