{"id":"W20966350","doi":"10.1073/pnas.1008544107","title":"S. A. Smith — Like Cattle and Horses: Nationalism and Labor in Shanghai, 1895-1927","year":2003,"lang":"en","type":"article","venue":"Histoire sociale","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nationalism; Political science; Gender studies; Sociology; Law; Politics","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":[0.000109357,0.0004935375,0.000203616,0.0004874852,0.001466433,0.000327084,0.0001467574,0.0003031788,0.02500498],"category_scores_gemma":[0.00009256516,0.0001023179,0.0001398749,0.0006705113,0.0003245955,0.0002400308,0.0004809526,0.0003688464,0.00327802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006491938,"about_ca_system_score_gemma":0.0008684782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612654,"about_ca_topic_score_gemma":0.04264687,"domain_scores_codex":[0.9999279,0.000010005,0.000005487212,0.00002513217,0.00001104124,0.00002046406],"domain_scores_gemma":[0.9999486,0.000003849962,0.000006563487,0.000002153471,0.000009802285,0.00002909619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005507434,0.0002391053,0.1082449,0.00122961,0.0001195338,0.01642772,0.006058649,0.001198689,0.02677022,0.02118991,0.1545292,0.6634418],"study_design_scores_gemma":[0.00002075537,0.0003642744,0.1815076,0.00007793352,0.00004522343,0.0039837,0.002089921,0.0006549878,0.00165889,0.001593196,0.8079745,0.0000290366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6544174,0.05108096,0.005365188,0.0190942,0.008615486,0.0002315696,0.005624803,0.0006825053,0.2548879],"genre_scores_gemma":[0.4643619,0.01022584,0.002589704,0.001117358,0.0005456607,0.00005388416,0.002120758,0.00005581988,0.518929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02500498,"threshold_uncertainty_score":0.08364999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635067745171328,"score_gpt":0.2574461992020596,"score_spread":0.2410955217503463,"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."}}