{"id":"W2792458032","doi":"10.17323/1811-038x-2018-27-1-65-89","title":"Cooperation in Rural Russia: Past, Present and Future","year":2018,"lang":"en","type":"article","venue":"Мир России","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Agrarian society; Political science; Presidential system; Schools of economic thought; Research center; Administration (probate law); Population; Economic history; Public administration; Sociology; Economic growth; Agriculture; Economics; Politics; Geography; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007348211,0.00008918354,0.00008555901,0.00007733425,0.00007740915,0.0003552035,0.00006940308,0.00004802161,0.0007817487],"category_scores_gemma":[0.00000392361,0.00006876564,0.00001219464,0.0001885923,0.00002681724,0.0009334988,0.00006585161,0.00003749882,0.0004743434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001480347,"about_ca_system_score_gemma":0.000005680651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003404329,"about_ca_topic_score_gemma":0.00007593801,"domain_scores_codex":[0.9995335,0.000002504533,0.0001447951,0.000129938,0.00005742373,0.0001318408],"domain_scores_gemma":[0.9998246,0.000003440389,0.00005089871,0.00006597061,0.0000463144,0.000008739717],"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":[0.00003900934,0.0001187122,0.1491533,0.0000745892,0.00002517544,0.000006740479,0.0003652805,0.00002211051,0.0001063038,0.08882435,0.6953525,0.06591194],"study_design_scores_gemma":[0.000300189,0.000003239713,0.1162621,0.00001397294,0.000003156729,0.000001518895,0.0003366475,0.0007602343,0.00001408967,0.0004265007,0.8817593,0.0001190061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6004209,0.00006075232,0.00006822059,0.01265993,0.00109177,0.0002698155,0.000001725986,0.0001091989,0.3853177],"genre_scores_gemma":[0.9822881,0.00001927217,0.00008827911,0.002860692,0.01001017,0.00001577644,0.0001080386,0.00001176473,0.004597863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3818673,"threshold_uncertainty_score":0.85596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006977169876085594,"score_gpt":0.1869508752118565,"score_spread":0.179973705335771,"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."}}