{"id":"W7164927990","doi":"10.1080/17153379.2019.12559389","title":"Red Swan: How Unorthodox Policy-Making Facilitated China’s Rise.","year":2019,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002356186,0.00032406,0.0001981589,0.0006118749,0.006730177,0.004313686,0.0007550803,0.002372771,0.00796635],"category_scores_gemma":[0.002715401,0.0001677284,0.0003169178,0.001012004,0.005012878,0.002597462,0.004489299,0.003474667,0.0003018003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149764,"about_ca_system_score_gemma":0.0314621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1437946,"about_ca_topic_score_gemma":0.2957751,"domain_scores_codex":[0.9990696,0.0002714577,0.00002149416,0.00008902311,0.0001363726,0.0004120606],"domain_scores_gemma":[0.9992946,0.0001144517,0.00004930335,0.00007939333,0.0001341283,0.0003280418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001264821,0.00008059288,0.0106654,0.0001619048,0.00004797286,0.0009588914,0.02876136,0.001350513,0.001764178,0.8415663,0.06221891,0.05229757],"study_design_scores_gemma":[0.00009392374,0.0001387378,0.04989909,0.0002680756,0.00007006538,0.0000712675,0.02106233,0.003225697,0.002507366,0.1292951,0.7932698,0.00009858813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4247971,0.003716128,0.004883997,0.1748079,0.001561622,0.0001939453,0.0003334717,0.0002728773,0.3894328],"genre_scores_gemma":[0.9324325,0.0007953789,0.001151148,0.007638467,0.000100532,0.00006267175,0.00006176381,0.00003276662,0.05772486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437946,"threshold_uncertainty_score":0.2859154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091268488358275,"score_gpt":0.2657600987550472,"score_spread":0.2548474138714644,"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."}}