{"id":"W2998226599","doi":"10.5539/ass.v16n1p91","title":"The Auction of Shenxin Textile Mill No.7 Plus a Discussion of Shenxin Improvement Committee","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Injustice; Mill; Dilemma; Government (linguistics); Order (exchange); Political science; Law; Sociology; Public administration; Business; Engineering; Finance; Philosophy; Epistemology","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":[0.003491792,0.0003479618,0.00023983,0.0004561793,0.01008055,0.005567878,0.0008121902,0.007465115,0.005668712],"category_scores_gemma":[0.001706139,0.0005734026,0.0006007222,0.0005363316,0.005316684,0.003486075,0.002074628,0.008448887,0.0003595035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007298862,"about_ca_system_score_gemma":0.005500015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503648,"about_ca_topic_score_gemma":0.04056396,"domain_scores_codex":[0.9982503,0.00053424,0.00008988934,0.0002639793,0.0003861575,0.0004754276],"domain_scores_gemma":[0.9993485,0.0002903454,0.0000842856,0.00003705711,0.0001200794,0.0001198255],"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":[0.0001750444,0.0001151186,0.00481794,0.0001178947,0.00003603727,0.002628928,0.01413814,0.0007235728,0.003090939,0.8955364,0.06530415,0.01331583],"study_design_scores_gemma":[0.00004945699,0.0002220719,0.01433744,0.000121492,0.00002784263,0.0003377072,0.008908281,0.001197759,0.002784257,0.0311114,0.9407783,0.0001239067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3343896,0.009961285,0.00493579,0.24264,0.008083686,0.0002560537,0.0001007134,0.0001021101,0.3995307],"genre_scores_gemma":[0.650847,0.00117565,0.001160663,0.02701256,0.0009906664,0.00009806644,0.00003609838,0.00003429307,0.3186451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01503648,"threshold_uncertainty_score":0.05295718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135463753536217,"score_gpt":0.2773332578617108,"score_spread":0.2659786203263486,"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."}}