{"id":"W2112281240","doi":"10.1111/j.1468-0351.2012.00441.x","title":"Consumption smoothing in Russia<sup>1</sup>","year":2012,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Consumption smoothing; Economics; Consumption (sociology); Smoothing; Econometrics; Estimation; Poverty; Imputation (statistics); Panel data; Standard of living; Food consumption; Macroeconomics; Economic growth; Agricultural economics; Statistics; Business cycle; Missing data; Mathematics","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":[0.0007270614,0.00008921456,0.0002378162,0.0003217223,0.0001516937,0.0003157763,0.0001858175,0.0001221139,0.001239538],"category_scores_gemma":[0.00126847,0.00008964283,0.0002489604,0.0006377456,0.0001460732,0.0001570833,0.0002580273,0.0001938029,0.0001951457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796924,"about_ca_system_score_gemma":0.0002795759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323725,"about_ca_topic_score_gemma":0.01373788,"domain_scores_codex":[0.9998023,0.00007968715,0.00001331709,0.00004740139,0.00002533857,0.00003196459],"domain_scores_gemma":[0.9993381,0.0002054956,0.0002603705,0.00009646929,0.00007609111,0.00002334421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002165083,0.00005220857,0.9763703,0.0000379657,0.0001509436,0.00008405878,0.001020085,0.004448693,0.001079128,0.001780207,0.0006927725,0.01406729],"study_design_scores_gemma":[0.000002783802,0.00002787448,0.9948993,0.000006522402,0.00003079204,0.00002602041,0.0002199438,0.00326391,0.00031722,0.0002708293,0.0009307733,0.000004092037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987007,0.00004978474,0.0002614317,0.00003959028,0.000001475279,0.000001680325,0.0005749315,0.000005523309,0.0003649065],"genre_scores_gemma":[0.9987325,0.00004781343,0.0001497106,0.000004269074,0.000001754884,0.000002530474,0.0007689617,0.000002017889,0.0002904286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323725,"threshold_uncertainty_score":0.04620403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633629808509077,"score_gpt":0.2027972286164659,"score_spread":0.1864609305313751,"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."}}