{"id":"W4205524062","doi":"10.2139/ssrn.3009590","title":"Philanthropy and Third Sector in China: Overview, Extent, Activities, and Impacts","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Political science; Business; Economic growth; Economics","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":[0.0007784587,0.0003139767,0.0002742485,0.003087358,0.001346788,0.001411452,0.0003619339,0.0003541337,0.003251754],"category_scores_gemma":[0.0008086844,0.0001164216,0.0003605734,0.00470366,0.0007889854,0.000817671,0.001295819,0.0003288745,0.0001052953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977686,"about_ca_system_score_gemma":0.006199435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04429121,"about_ca_topic_score_gemma":0.0617523,"domain_scores_codex":[0.9994255,0.0001041762,0.00003118073,0.00005198606,0.0001247414,0.0002623923],"domain_scores_gemma":[0.9985272,0.0002736148,0.0003477515,0.00006265808,0.0002786415,0.0005101998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000449283,0.0003292231,0.7501207,0.000926197,0.0001098023,0.001279615,0.003595529,0.001730787,0.002704083,0.01381864,0.005039351,0.2198968],"study_design_scores_gemma":[0.00002625421,0.0001758728,0.9754624,0.00007455208,0.00005889462,0.000302933,0.002992707,0.001330274,0.0007198605,0.001302646,0.01753242,0.00002114403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665409,0.01338807,0.0003572187,0.001683068,0.00004315265,0.00007481958,0.000418915,0.00003851929,0.01745533],"genre_scores_gemma":[0.9924877,0.004487121,0.0001291712,0.00006668026,0.00003002255,0.00001523745,0.0001514714,0.000002376772,0.00263024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04429121,"threshold_uncertainty_score":0.08806682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076068058585145,"score_gpt":0.280347864237516,"score_spread":0.2695871836516645,"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."}}