{"id":"W2758467540","doi":"10.1093/ehr/cex300","title":"The Merchants of Siberia: Trade in Early Modern Eurasia, by Erika Monahan","year":2017,"lang":"en","type":"article","venue":"The English Historical Review","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Archaeology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001877392,0.0001275394,0.0003701218,0.00001477271,0.001327099,0.00003774629,0.001286686,0.00007328422,0.00001528229],"category_scores_gemma":[0.00275171,0.00007578627,0.0001583415,0.0001509853,0.0004321811,0.0001835905,0.00006785087,0.0003059393,0.00001029878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218632,"about_ca_system_score_gemma":0.00007745387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931507,"about_ca_topic_score_gemma":0.0007837337,"domain_scores_codex":[0.9982337,0.000547309,0.0003584304,0.0001898567,0.0004456771,0.0002249682],"domain_scores_gemma":[0.9985003,0.0003617824,0.0002907625,0.0006868666,0.00005779015,0.0001024673],"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":[0.0001644474,0.0006049713,0.001325805,0.001126333,0.00009645033,0.00002593472,0.1906091,0.000002574025,0.0001969557,0.1802472,0.250008,0.3755923],"study_design_scores_gemma":[0.0001039269,0.00002364427,0.0003874254,0.000260533,0.00002774516,1.790276e-7,0.00002381832,0.000002622058,0.000002338033,0.02344257,0.9756224,0.0001028076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01400038,0.7480548,0.00001820193,0.0284571,0.003539367,0.00109363,0.00002014967,0.00006576048,0.2047506],"genre_scores_gemma":[0.9385075,0.05888109,0.000008648948,0.0002524578,0.000530965,0.0000394622,0.000001073434,0.00001421304,0.001764594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245071,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354849695565238,"score_gpt":0.3073638940443198,"score_spread":0.2638153970886674,"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."}}