{"id":"W1599065150","doi":"10.1353/eca.2016.0005","title":"Grasp the Large, Let Go of the Small: The Transformation of the State Sector in China","year":2016,"lang":"en","type":"article","venue":"Brookings Papers on Economic Activity","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"GRASP; China; Transformation (genetics); State (computer science); Political science; Computer science; Chemistry; 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":[0.0009250912,0.0001898248,0.0003637901,0.00005788769,0.0001682856,0.00003151164,0.0008079876,0.00008958321,0.0001209269],"category_scores_gemma":[0.00005976831,0.00009227778,0.0003074307,0.0001155262,0.0002146869,0.0002362948,0.00009073647,0.0002298946,0.00005885617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977191,"about_ca_system_score_gemma":0.0000472692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008404458,"about_ca_topic_score_gemma":0.002588525,"domain_scores_codex":[0.9986781,0.00006738685,0.0006133948,0.0002852007,0.00003394902,0.0003219606],"domain_scores_gemma":[0.9983296,0.0001980389,0.0007587146,0.0006770624,0.000007149032,0.00002943124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004893353,0.0005681911,0.581639,0.0001307105,0.0004553965,5.020616e-7,0.009219497,0.005411908,0.003509325,0.3704325,0.001047165,0.02709649],"study_design_scores_gemma":[0.001133617,0.00005229442,0.9516697,0.00004968075,0.00001068406,0.000002719982,0.0001436954,0.000680405,0.005609282,0.01478599,0.0256518,0.0002101343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678793,0.00005822831,0.00003750617,0.005384571,0.0005032485,0.0004705859,0.000443382,0.000009068024,0.02521413],"genre_scores_gemma":[0.9989907,0.0001749363,0.000003003069,0.0003901296,0.00003819407,0.00002362529,8.207538e-7,0.0000191224,0.0003594834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700307,"threshold_uncertainty_score":0.3762979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022013699634452,"score_gpt":0.184590946310843,"score_spread":0.162577246676391,"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."}}