{"id":"W3124080545","doi":"10.1111/gove.12573","title":"Exploring political personalities: The <scp>micro‐foundation</scp> of local policy innovation in China","year":2021,"lang":"en","type":"article","venue":"Governance","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Chiang Ching-Kuo Foundation for International Scholarly Exchange","keywords":"Personality psychology; China; Politics; Personality; Foundation (evidence); Economics; Political science; Business; Marketing; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004836019,0.00006589316,0.0001225156,0.00003082377,0.0001561088,0.00004312854,0.0001138735,0.00004693514,0.00003367232],"category_scores_gemma":[0.001934442,0.00005726508,0.00003386027,0.001038411,0.000253919,0.0002978971,0.00002552691,0.0001217398,0.00001824659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784541,"about_ca_system_score_gemma":0.000553514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05862255,"about_ca_topic_score_gemma":0.007264919,"domain_scores_codex":[0.9985932,0.0001951513,0.0003206794,0.0001326177,0.0003589279,0.0003994135],"domain_scores_gemma":[0.9992616,0.0002885938,0.0001170983,0.0001184974,0.0001622298,0.00005200995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[8.42707e-7,0.00002558783,0.01581107,0.00001876824,0.000003618872,0.000001318272,0.006202038,0.00001419327,0.0003732112,0.9765136,0.0001394213,0.0008963435],"study_design_scores_gemma":[0.0003250849,0.00003509438,0.8477467,0.0001646114,0.00000778148,0.000002401909,0.01508138,0.0001079032,0.007576987,0.04345544,0.0854151,0.00008147456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685301,0.00007474636,0.0004831416,0.007889464,0.0001707148,0.00009004347,0.00001276971,0.00001454904,0.02273451],"genre_scores_gemma":[0.9971777,0.00002361206,0.00003171292,0.0003528235,0.0004892115,0.00002630596,0.000005491908,0.000006002766,0.001887113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9330581,"threshold_uncertainty_score":0.9476461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09280086919851166,"score_gpt":0.3450617031801599,"score_spread":0.2522608339816482,"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."}}