{"id":"W4281631009","doi":"10.18280/ijsdp.170305","title":"Retrospective Result Analysis of Land Reforms in the Russian Federation","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land management; Work (physics); Relevance (law); Land use; Land tenure; Russian federation; Agricultural land; Agriculture; Business; Environmental resource management; Economic system; Land information system; Natural resource economics; Economics; Political science; Economic policy; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000714143,0.00006230111,0.0001367249,0.0001311184,0.0002275458,0.00007019083,0.0002342452,0.00001882656,0.00005632186],"category_scores_gemma":[0.00003683336,0.00002112162,0.00004336231,0.00058058,0.00001370335,0.0001689044,0.00007511694,0.0001338913,1.059413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220539,"about_ca_system_score_gemma":0.00002630242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577687,"about_ca_topic_score_gemma":0.00009643233,"domain_scores_codex":[0.9990305,0.00005104518,0.0003221818,0.00006736004,0.000415735,0.000113163],"domain_scores_gemma":[0.999492,0.00007235481,0.0002626731,0.00001173471,0.000142547,0.00001866979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003116078,0.00009442205,0.9317004,0.00000572798,0.0006249681,0.0004256871,0.0487733,0.001650999,0.0005348341,0.008729106,0.0006484858,0.006500425],"study_design_scores_gemma":[0.0001278201,0.00005628581,0.943511,0.000009430722,0.0000194109,0.00002114922,0.04403832,0.00003446954,0.00008825427,0.0003475531,0.01168765,0.00005862094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966205,0.0001162136,0.000003988607,0.001665704,0.00007268526,0.00005498333,0.000005448683,0.000002317497,0.001458122],"genre_scores_gemma":[0.9992647,0.00001775596,0.00007104964,0.0001195623,0.00006787952,0.000004521649,0.00007079072,2.990791e-7,0.0003834427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0118106,"threshold_uncertainty_score":0.1750121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321910596877024,"score_gpt":0.2363237789851971,"score_spread":0.2231046730164269,"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."}}