{"id":"W7094724652","doi":"","title":"ÐÑÑÐ½ÐºÐ° Ð²Ð¿Ð»Ð¸Ð²ÑÐ² ÑÐµÑÐ½Ð¾Ð³ÐµÐ½Ð½Ð¾ Ð½ÐµÐ±ÐµÐ·Ð¿ÐµÑÐ½Ð¸Ñ Ð¾Ð±'ÑÐºÑÑÐ² Ð½Ð° Ð½Ð°Ð²ÐºÐ¾Ð»Ð¸ÑÐ½Ñ ÑÐµÑÐµÐ´Ð¾Ð²Ð¸ÑÐµ: Ð½Ð°ÑÐºÐ¾Ð²Ð¾-ÑÐµÐ¾ÑÐµÑÐ¸ÑÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð¸, Ð¿ÑÐ°ÐºÑÐ¸ÑÐ½Ð° ÑÐµÐ°Ð»ÑÐ·Ð°ÑÑÑ","year":2017,"lang":"uk","type":"dissertation","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Environmental impact assessment; Recreation; Hydropower; Latin Americans; Process (computing)","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004385613,0.004430437,0.006912926,0.00727331,0.01086102,0.003626768,0.008107971,0.002251505,0.02100679],"category_scores_gemma":[0.0008442021,0.005578485,0.004663025,0.00376032,0.006176134,0.004623354,0.002371385,0.004638236,0.01517371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003816929,"about_ca_system_score_gemma":0.003914688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341254,"about_ca_topic_score_gemma":0.006549219,"domain_scores_codex":[0.9746723,0.0007426111,0.005361533,0.009370725,0.001779806,0.008073087],"domain_scores_gemma":[0.9814644,0.0009256738,0.008005426,0.006208736,0.001249485,0.002146219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01098367,0.007101943,0.01707144,0.004307542,0.01692883,0.00202506,0.03634534,0.00233267,0.01021556,0.470865,0.3921799,0.02964308],"study_design_scores_gemma":[0.009014731,0.001535692,0.006057166,0.001338518,0.001299689,0.0001269711,0.01076598,0.002536945,0.001696889,0.02104503,0.9372754,0.007306956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4224518,0.01006595,0.0004239514,0.001514851,0.03264262,0.005371364,0.02367,0.0007355247,0.503124],"genre_scores_gemma":[0.356296,0.005371463,0.0003746625,0.000192143,0.001044223,0.00006034595,0.006878645,0.0004484216,0.6293341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5450956,"threshold_uncertainty_score":0.9990438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138724303239941,"score_gpt":0.2024044329467651,"score_spread":0.1810171899143657,"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."}}