{"id":"W4387135220","doi":"10.1177/0308518x231202905","title":"Conjunctural geographies of the economy in Isabella Weber’s <i>How China Escaped Shock Therapy</i>","year":2023,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); China; Contradiction; Elite; Sociology; Shock (circulatory); Economic geography; Corporate governance; Economy; Social science; Neoclassical economics; Political science; Economics; Epistemology; History; Law; Politics; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330352,0.0003865843,0.0002902472,0.001284668,0.00773817,0.006756657,0.0008714267,0.001624857,0.00366424],"category_scores_gemma":[0.001895171,0.0002124808,0.000279335,0.002352705,0.03864222,0.005624643,0.00382715,0.003207308,0.000234513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486193,"about_ca_system_score_gemma":0.005050201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02655235,"about_ca_topic_score_gemma":0.03216071,"domain_scores_codex":[0.9991497,0.0004389739,0.00001677727,0.00009211446,0.0001163444,0.0001860092],"domain_scores_gemma":[0.9995845,0.0002028264,0.00005059496,0.0000612654,0.00003723416,0.00006362634],"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":[0.000008295674,0.00000386686,0.0002510416,0.00001511323,0.000001970106,0.0001369321,0.03449044,0.0002687231,0.00006566966,0.9585036,0.002477765,0.003776564],"study_design_scores_gemma":[0.00001737743,0.0000376539,0.001800723,0.0001612953,0.0000115151,0.0001634134,0.05422019,0.001192993,0.0004431882,0.6046811,0.3372455,0.0000249961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2354796,0.008899507,0.01821125,0.06460382,0.00106364,0.0000937179,0.00008738785,0.000161743,0.6713994],"genre_scores_gemma":[0.9653203,0.001558549,0.001061035,0.00137114,0.0001177268,0.00004509967,0.00001811501,0.00004649643,0.03046153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02655235,"threshold_uncertainty_score":0.1078314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728544191115586,"score_gpt":0.2205502457165717,"score_spread":0.2032648038054158,"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."}}