{"id":"W2300288223","doi":"10.2139/ssrn.1742104","title":"What Drives Corporate Charitable Contributions, Market Forces, Government Influences, or Political Goodwill? Evidence from China","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Goodwill; Politics; China; Government (linguistics); Business; Market economy; Accounting; Political economy; Political science; Economics; Law","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":[0.002426221,0.0002907454,0.0004494636,0.001789616,0.001992505,0.00221675,0.0005458668,0.0006703355,0.004592586],"category_scores_gemma":[0.005195573,0.0002289446,0.0004437554,0.002481907,0.002233532,0.000877238,0.001157764,0.0006785005,0.0003273083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402747,"about_ca_system_score_gemma":0.004290083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08983644,"about_ca_topic_score_gemma":0.1639596,"domain_scores_codex":[0.9986684,0.0003355672,0.00006163276,0.0001689325,0.0002433985,0.0005220834],"domain_scores_gemma":[0.9906507,0.002485333,0.003600516,0.0004445829,0.001202797,0.001616189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002490531,0.0001955812,0.9788098,0.00007238174,0.000203228,0.0003813043,0.003873858,0.0003708413,0.0003244349,0.003519708,0.001315051,0.01068481],"study_design_scores_gemma":[0.00003811536,0.00007214981,0.9920678,0.00002566917,0.0001286348,0.00003110755,0.003967633,0.0004372904,0.0001705907,0.0006673499,0.0023784,0.00001525331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945934,0.0002940908,0.00004503135,0.0008302838,0.00001195537,0.000008145297,0.00006465063,0.000003421953,0.004148934],"genre_scores_gemma":[0.9989656,0.0001266035,0.00001234192,0.00006854516,0.000009720306,0.000002581972,0.00004963201,0.000001142742,0.0007638365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08983644,"threshold_uncertainty_score":0.1786271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491663193400758,"score_gpt":0.262352774219978,"score_spread":0.2274361422859705,"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."}}