{"id":"W175377610","doi":"","title":"Peasant-Traders of Ladakh: A Study in Oral History","year":2016,"lang":"en","type":"article","venue":"","topic":"Cuban History and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peasant; History; TRACE (psycholinguistics); Modernity; Quarter (Canadian coin); Transition (genetics); Social life; Ethnology; Political science; Law; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001644442,0.0002941904,0.0005708832,0.003029004,0.01356263,0.008179353,0.0008339186,0.001340766,0.009794442],"category_scores_gemma":[0.003858617,0.0004285149,0.0001306569,0.005111889,0.005640312,0.005281299,0.003471611,0.001886462,0.0007704414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006988382,"about_ca_system_score_gemma":0.003679636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07705412,"about_ca_topic_score_gemma":0.1132245,"domain_scores_codex":[0.998993,0.0004255868,0.00003854745,0.00007825273,0.0001247929,0.0003397811],"domain_scores_gemma":[0.9987333,0.0006974832,0.0001703695,0.00006068794,0.0001301012,0.0002079697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002340243,0.00004667321,0.01214763,0.00006497285,0.000002261999,0.0004645606,0.9777312,0.0000055775,0.0001721488,0.003880328,0.0005722534,0.004889047],"study_design_scores_gemma":[0.000001639123,0.0000191146,0.01768531,0.0000962851,0.000003236391,0.0001744591,0.9648514,0.00001500107,0.00005852587,0.0001980315,0.01689154,0.00000549191],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659168,0.002824172,0.00006619524,0.001843484,0.00004467203,0.00002482345,0.00006310421,0.000005918124,0.02921072],"genre_scores_gemma":[0.9884312,0.001756762,0.0000420701,0.0002892954,0.00003257415,0.00001722478,0.00003987335,0.00001185787,0.009379291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07705412,"threshold_uncertainty_score":0.1532112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08819454653278018,"score_gpt":0.3149340804615933,"score_spread":0.2267395339288131,"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."}}