{"id":"W7164904249","doi":"10.1080/17153379.2022.12558188","title":"Innovation and China’s Global Emergence.","year":2022,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Globalization, Economics, and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.0004936702,0.0001446373,0.0001403544,0.0006305624,0.0009090664,0.001829821,0.0001665789,0.0007129533,0.004100366],"category_scores_gemma":[0.001458809,0.00004732445,0.0001728238,0.001201858,0.001455439,0.001388394,0.0009308885,0.001097572,0.0001203961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003585946,"about_ca_system_score_gemma":0.004075807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05525354,"about_ca_topic_score_gemma":0.08435581,"domain_scores_codex":[0.9998469,0.00002963416,0.000005343814,0.00001798918,0.00002590845,0.00007421675],"domain_scores_gemma":[0.9995881,0.0001028109,0.00008508054,0.00001835536,0.00008706645,0.0001185837],"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":[0.0001143239,0.00005670408,0.0908662,0.000195907,0.00005442854,0.0009361355,0.002538523,0.00652937,0.0004658436,0.7842863,0.03467888,0.07927743],"study_design_scores_gemma":[0.00005707562,0.0001517848,0.4286214,0.0003396711,0.0001042834,0.0002269193,0.004738712,0.01422339,0.0007867221,0.3300295,0.2206686,0.00005197845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.62083,0.02454929,0.002438848,0.09621774,0.0005498572,0.00004471955,0.000827063,0.00006977276,0.2544727],"genre_scores_gemma":[0.9892995,0.0040282,0.0001388074,0.0005428267,0.0001237307,0.00000824271,0.00005917915,0.000002810478,0.005796704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05525354,"threshold_uncertainty_score":0.1098639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876100805492792,"score_gpt":0.2118969790529924,"score_spread":0.1931359709980645,"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."}}