{"id":"W2135051078","doi":"10.5539/ass.v6n6p42","title":"The Rural Market in Late Imperial China","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Crisis of the 21st Century","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Program for New Century Excellent Talents in University","keywords":"Magistrate; China; Cash; Peasant; Clan; History of China; Rural area; Cash crop; Economic history; Agriculture; Economy; Economic growth; Geography; History; Political science; Business; Economics; Law; 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":[0.0001843536,0.0001010756,0.0001555024,0.0005978072,0.001120013,0.002110904,0.0002032649,0.0003436163,0.003243644],"category_scores_gemma":[0.0006126197,0.0001008934,0.00006077837,0.0009880107,0.001513015,0.001163592,0.000631851,0.0004250011,0.0001209961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734487,"about_ca_system_score_gemma":0.001246533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04455707,"about_ca_topic_score_gemma":0.04575351,"domain_scores_codex":[0.9998764,0.00002280759,0.000004215176,0.00002119858,0.00002436259,0.0000511196],"domain_scores_gemma":[0.9997618,0.00003668935,0.00008326065,0.0000092338,0.00003777181,0.00007127484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001825372,0.0001552114,0.1383053,0.000278515,0.0000405324,0.006821785,0.03299025,0.002715056,0.002510824,0.7557113,0.01664259,0.04364619],"study_design_scores_gemma":[0.0001275631,0.0001788758,0.5908355,0.0002095243,0.00004786388,0.001150558,0.0355049,0.01663496,0.0009448526,0.08551202,0.2687842,0.00006917724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511554,0.001358362,0.0002305019,0.001972625,0.00001749128,0.00001034853,0.0001139572,0.00000791828,0.04513349],"genre_scores_gemma":[0.9955844,0.0003799114,0.00003118056,0.00004082231,0.00001339118,0.000002630272,0.00003231523,0.000001261765,0.003914065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04455707,"threshold_uncertainty_score":0.08859545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006478896228901151,"score_gpt":0.2162556828237048,"score_spread":0.2097767865948037,"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."}}