{"id":"W4205363850","doi":"10.33730/2310-4678.2.2021.242073","title":"Development of rural areas in Ukraine through the prism of experience of developed countries: ecological and social aspects","year":2021,"lang":"en","type":"article","venue":"Balanced nature using","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; Economic growth; Subsidy; Sustainability; Rural area; Business; Agriculture; China; Rural economics; Environmental planning; Rural development; Political science; Geography; Economics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002209131,0.0001262943,0.0003689384,0.0000081839,0.0001128961,0.00001035512,0.0001713029,0.0001964769,0.00005739318],"category_scores_gemma":[0.0001558691,0.00004271951,0.00005873659,0.0006780546,0.0001687351,0.00007104217,0.0001344544,0.000217867,1.176986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825889,"about_ca_system_score_gemma":0.00005253094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004048528,"about_ca_topic_score_gemma":0.0005912684,"domain_scores_codex":[0.9988741,0.00008982017,0.00041772,0.0001680474,0.0002696858,0.0001806459],"domain_scores_gemma":[0.9992672,0.0002190802,0.000280049,0.00004214959,0.0001737922,0.00001773681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001064383,0.0001904582,0.02805042,0.00005006314,0.00006898127,0.00001176594,0.0177635,0.000009220081,0.9446058,0.001390306,0.00004120321,0.007711887],"study_design_scores_gemma":[0.0003397187,0.00002990168,0.8981077,0.0001263701,0.00002390165,0.00001331201,0.01090428,0.00005387318,0.08638448,0.0002564484,0.003567188,0.0001928233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981976,0.0007252964,0.00001554192,0.0006569688,0.0000358674,0.0001129908,0.000006266234,0.000006821085,0.0002427094],"genre_scores_gemma":[0.9967426,0.00005526927,0.002976523,0.0001359697,0.0000461072,0.000003997745,0.00002555295,6.893826e-7,0.0000133014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8700573,"threshold_uncertainty_score":0.1742051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637235138434896,"score_gpt":0.2557819573469181,"score_spread":0.2394096059625692,"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."}}