{"id":"W4230405021","doi":"10.7591/cornell/9781501730436.001.0001","title":"The Hungry Steppe","year":2018,"lang":"en","type":"book","venue":"Cornell University Press eBooks","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kazakh; Famine; Quarter (Canadian coin); Political science; Soviet union; Population; Ancient history; History; Geography; Economic history; Political economy; Development economics; Politics; Law; Sociology; Archaeology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004028518,0.0001906965,0.0002000847,0.00005123055,0.002083649,0.00007755254,0.001129561,0.0004581015,0.00008728018],"category_scores_gemma":[0.00003142491,0.0001729146,0.0001871746,0.00001513988,0.002135449,0.00005889114,0.0002246812,0.000379276,0.0001499029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548571,"about_ca_system_score_gemma":0.000999318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005018392,"about_ca_topic_score_gemma":0.0008552902,"domain_scores_codex":[0.9986218,0.0002539719,0.000113294,0.000346423,0.0002944712,0.0003700565],"domain_scores_gemma":[0.9987295,0.0002659252,0.0001926768,0.0004993643,0.0001334137,0.0001791151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003345732,0.000004092407,0.000002777206,0.00001040652,0.00004134261,0.00003381439,0.002332695,1.310559e-7,3.070178e-7,0.3754165,0.6202499,0.001874647],"study_design_scores_gemma":[0.0001479945,0.00002300326,0.00001591786,0.00004373509,0.00008826922,4.09233e-7,0.000561928,0.000002168713,0.000001983795,0.002087336,0.996797,0.0002302647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001237941,0.000503137,0.00002468332,0.00002054446,0.001592017,0.0003258495,0.00001877894,0.0001514451,0.9973512],"genre_scores_gemma":[0.0003464177,0.0004539023,0.00001033353,0.00005548241,0.0009863346,5.382817e-7,0.000006576701,0.00002322329,0.9981172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3765471,"threshold_uncertainty_score":0.9992155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248596510652532,"score_gpt":0.2184273668090469,"score_spread":0.1759414017025215,"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."}}