{"id":"W2140444904","doi":"","title":"Is China a Leviathan","year":2005,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus Research Institute of Management; McMaster University","keywords":"Decentralization; Collusion; China; Democracy; LEVIATHAN (cipher); Economics; Government (linguistics); Language change; Public sector; De facto; Political science; Constraint (computer-aided design); Economic system; Economy; Market economy; Politics; Microeconomics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002162251,0.0003268789,0.0006669944,0.001258304,0.0024097,0.004275475,0.0007062188,0.001297028,0.04840681],"category_scores_gemma":[0.004704743,0.0001884083,0.0002968178,0.002879996,0.002516022,0.002984168,0.001065848,0.001114392,0.004767076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477831,"about_ca_system_score_gemma":0.004111563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04198307,"about_ca_topic_score_gemma":0.03859507,"domain_scores_codex":[0.9989446,0.0002158866,0.00007889364,0.0003302352,0.0002570087,0.0001733739],"domain_scores_gemma":[0.9971238,0.0005901722,0.0004074214,0.0003869636,0.001103431,0.0003881332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002551115,0.00003669048,0.01971089,0.0006759295,0.0001198853,0.000450542,0.005935628,0.0002273325,0.000454504,0.2225501,0.6190726,0.1305108],"study_design_scores_gemma":[0.00002397205,0.00004995705,0.02575313,0.0003573127,0.00003239323,0.0001353349,0.00228034,0.000292784,0.0002228135,0.009026051,0.9617819,0.00004406109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.106819,0.02918398,0.002311832,0.4376644,0.02687497,0.000154855,0.008993045,0.0004244997,0.3875735],"genre_scores_gemma":[0.7285926,0.0207512,0.00175952,0.04714141,0.007147095,0.0001549757,0.004303085,0.0001584298,0.1899917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04840681,"threshold_uncertainty_score":0.1619369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232611767783178,"score_gpt":0.2956617151501322,"score_spread":0.2724005383718144,"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."}}