{"id":"W2289792315","doi":"10.1017/s0305741015001630","title":"Gender Statistics and Local Governance in China: State Feminist versus Feminist Political Economy Approaches","year":2016,"lang":"en","type":"article","venue":"The China Quarterly","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"China; Mainstream; Corporate governance; Politics; State (computer science); Government (linguistics); Political science; Sociology; Political economy; Public administration; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004322235,0.0001299247,0.0001470605,0.00002367324,0.0003040924,0.0001176607,0.0002148754,0.00006011313,0.00003913617],"category_scores_gemma":[0.00003599401,0.00008171101,0.00003079452,0.00007037581,0.0009505707,0.0001064808,0.00002570513,0.0001180789,0.0000287337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604376,"about_ca_system_score_gemma":0.0001667777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658872,"about_ca_topic_score_gemma":0.001464888,"domain_scores_codex":[0.9986017,0.0001936249,0.0002259382,0.0002539521,0.0001980362,0.0005267173],"domain_scores_gemma":[0.9992731,0.0002556128,0.00008277038,0.0002016816,0.00001473844,0.0001721352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004238796,0.0000393236,0.00258958,0.00001135554,0.00001471233,0.000006229634,0.03161329,0.000001158491,0.00000265947,0.9459108,0.0002722222,0.01949633],"study_design_scores_gemma":[0.002186385,0.0003690107,0.2089007,0.00002457345,0.00003234783,0.000009249428,0.04340965,0.0004991315,0.00004146868,0.7303728,0.01372943,0.0004252973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4801859,0.0001959672,0.01477821,0.01868673,0.0008233595,0.0006593526,0.0003803939,0.00007730825,0.4842128],"genre_scores_gemma":[0.998814,0.00001485706,0.0001574124,0.000105623,0.000166131,0.00001553743,0.000003406686,0.00001269932,0.0007103226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5186281,"threshold_uncertainty_score":0.4019437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219878285086905,"score_gpt":0.2933110632625625,"score_spread":0.2511122804116934,"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."}}