{"id":"W6988311959","doi":"","title":"Планування використання земель як функція публічного управління в галузі використання і охорони земель: адміністративно-правовий аспект","year":2022,"lang":"uk","type":"article","venue":"Institutional Repository of Vadym Hetman Kyiv National Economic University iRKNEU (Kyiv National Economic University named after Vadym Hetman)","topic":"Land Use and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Function (biology); Government (linguistics); Land-use planning; Consolidation (business); Field (mathematics)","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.002689814,0.001381739,0.001657818,0.003024581,0.007629863,0.0003781281,0.003530412,0.0008259501,0.006040572],"category_scores_gemma":[0.0001433132,0.001946034,0.001682805,0.001026308,0.002785796,0.004108471,0.002607643,0.001584928,0.001298994],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02777016,"about_ca_system_score_gemma":0.01462116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009728178,"about_ca_topic_score_gemma":0.004144975,"domain_scores_codex":[0.9893606,0.001293448,0.002021894,0.002893563,0.002768578,0.001661968],"domain_scores_gemma":[0.9934576,0.001038775,0.002365157,0.0009585393,0.001087614,0.001092302],"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":[0.003953847,0.002398331,0.007375158,0.0003162904,0.003685114,0.00123028,0.006126513,0.1409845,0.0001520297,0.791257,0.04150537,0.001015482],"study_design_scores_gemma":[0.007222356,0.0004653371,0.01001984,0.0001613682,0.0006982251,0.0001906122,0.008916861,0.008391606,0.0001178775,0.006125533,0.9551572,0.002533201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6282963,0.0006744936,0.0004648715,0.008101405,0.008544722,0.002620681,0.008318522,0.000452577,0.3425265],"genre_scores_gemma":[0.9281422,0.0007026393,0.0004668325,0.0009703791,0.001761765,0.000026721,0.001134039,0.00009958517,0.06669579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136518,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127194240280567,"score_gpt":0.2137435624367897,"score_spread":0.201024138408733,"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."}}