{"id":"W4255527319","doi":"10.1093/geront/gnv226.06","title":"LIFE CONDITIONS THAT FOSTER WISDOM IN CANADA AND CHINA","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172161,0.0001337558,0.0004825686,0.001586832,0.01060022,0.003810037,0.001069606,0.0009075899,0.003986615],"category_scores_gemma":[0.003475122,0.000134029,0.0002493433,0.003586774,0.005652064,0.0008272384,0.002795946,0.001412059,0.0001491485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0607732,"about_ca_system_score_gemma":0.09389928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9668168,"about_ca_topic_score_gemma":0.9922091,"domain_scores_codex":[0.998184,0.0001953397,0.00004625392,0.0001523375,0.0002468734,0.001175087],"domain_scores_gemma":[0.9957674,0.0002659926,0.0004926616,0.0001399345,0.0009349029,0.002399155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004853099,0.0002565729,0.6849769,0.00008993251,0.0001308069,0.001777005,0.08708598,0.001769581,0.001034299,0.1464067,0.01802943,0.05795751],"study_design_scores_gemma":[0.00004010608,0.00006127028,0.8967198,0.0000821045,0.00004060725,0.00008342816,0.06463984,0.0007270036,0.0002203649,0.007911833,0.02940751,0.00006620703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825928,0.0003674866,0.00005785863,0.004954715,0.00002514083,0.00001409424,0.000237749,0.000005721317,0.01174431],"genre_scores_gemma":[0.997926,0.00008144708,0.00002788095,0.0002224932,0.000004946203,0.000003553682,0.000051826,0.000001714387,0.001680129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0607732,"threshold_uncertainty_score":0.4409425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05648967015516317,"score_gpt":0.2887118604635091,"score_spread":0.232222190308346,"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."}}