{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736691,0.0000602969,0.0001151934,0.000006429938,0.0001986336,0.00003654022,0.0001786727,0.00003441274,0.00005494314],"category_scores_gemma":[0.0001835128,0.00003874873,0.00001525035,0.00003143537,0.0003835289,0.0001346141,0.00004216845,0.00009425618,0.000008396934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546379,"about_ca_system_score_gemma":0.001274909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943337,"about_ca_topic_score_gemma":0.9993287,"domain_scores_codex":[0.9994058,0.00006938908,0.00009810708,0.000106467,0.0001159704,0.0002042596],"domain_scores_gemma":[0.9995903,0.00006687578,0.0000704386,0.0001234544,0.000009909239,0.0001390736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003482433,0.00002486606,0.7751399,0.000005848338,0.0000220039,0.00001724394,0.06134109,0.00004457876,0.0000014305,0.03641026,0.1229023,0.004055658],"study_design_scores_gemma":[0.0005469262,0.00001681845,0.8764055,0.000008445011,0.000005855384,0.00000358759,0.02716372,0.00005014593,0.00000351107,0.01861197,0.07703006,0.0001534943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420628,0.0004922412,0.000005819996,0.02205166,0.0002833004,0.0001173709,0.00001671975,0.00001000369,0.03496007],"genre_scores_gemma":[0.9972556,0.00009421759,0.00001244959,0.001228092,0.00007738374,0.00001001452,0.000001727684,0.000002988862,0.001317507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012655,"threshold_uncertainty_score":0.2261635,"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."}}