{"id":"W3010098397","doi":"10.1038/s41598-020-60194-0","title":"Economic Diversification Supported the Growth of Mongolia’s Nomadic Empires","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Max-Planck-Gesellschaft; National University of Mongolia","keywords":"Diversification (marketing strategy); Economic geography; Geography; Business; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407631,0.0001269747,0.0001074834,0.0005993336,0.000616027,0.0006789601,0.0002191451,0.0001931222,0.000894952],"category_scores_gemma":[0.0005033402,0.000122572,0.00006361051,0.0005726377,0.0005315968,0.000302236,0.0004324814,0.0001781799,0.00007801024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007918574,"about_ca_system_score_gemma":0.0005080798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564832,"about_ca_topic_score_gemma":0.05058721,"domain_scores_codex":[0.9998782,0.000039942,0.000006512771,0.00002367659,0.00001361945,0.00003803206],"domain_scores_gemma":[0.9996259,0.00006349222,0.0001338499,0.00003493043,0.00008405323,0.00005778662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479002,0.0000209734,0.9693197,0.00005087536,0.00005518493,0.0002838433,0.006846113,0.00026847,0.01006868,0.0008569667,0.0001247597,0.01195655],"study_design_scores_gemma":[0.000001371052,0.00001378533,0.997429,0.000007942952,0.000006325889,0.00004905877,0.001380725,0.0001296998,0.0002167597,0.00003313047,0.0007301546,0.000001990487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994782,0.0000635033,0.00002257023,0.00001249975,5.393512e-7,6.002884e-7,0.0000112313,3.67416e-7,0.0004104246],"genre_scores_gemma":[0.9998367,0.00002846049,0.00003217504,0.000003284433,8.454218e-7,4.822004e-7,0.0000136011,3.717134e-7,0.00008397319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01564832,"threshold_uncertainty_score":0.03111446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747760714097965,"score_gpt":0.1930186714355142,"score_spread":0.1755410642945345,"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."}}