{"id":"W2345635713","doi":"","title":"지역임업 및 지역 산림 관리 활성화 방안(1/2차연도)","year":2014,"lang":"ko","type":"article","venue":"한국농촌경제연구원 기타연구보고서","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Sustainability; Business; Geography; Agroforestry; Economic growth; Environmental planning; Environmental protection; Natural resource economics; Environmental resource management; Economics; Environmental science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006870255,0.0004085984,0.0005552881,0.00002807883,0.001076848,0.000132925,0.0005468641,0.0004245797,0.00430181],"category_scores_gemma":[0.0004386895,0.000189097,0.0002651066,0.0005275176,0.000451958,0.0002151534,0.0002958986,0.0003762891,0.003118912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004042778,"about_ca_system_score_gemma":0.00002840103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405347,"about_ca_topic_score_gemma":0.001926715,"domain_scores_codex":[0.9973019,0.0003613958,0.0005385373,0.0007198455,0.0003091663,0.0007691623],"domain_scores_gemma":[0.9981346,0.0009628607,0.0002623261,0.0002111158,0.0002143427,0.0002147648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001554612,0.0006842753,0.6599104,0.00008221577,0.0003393385,0.00003226275,0.000896233,0.000006739766,0.01056204,0.03534524,0.138722,0.1532638],"study_design_scores_gemma":[0.0003598208,0.0005226615,0.5897797,0.00004958745,0.00007281452,0.0000105871,0.000633564,0.0001142413,0.0005714464,0.004519769,0.4029005,0.0004653146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391102,0.001081082,0.00001777048,0.02957038,0.001687192,0.0002874067,0.0000409341,0.0001748163,0.02803027],"genre_scores_gemma":[0.9669696,0.0005198353,0.0001101615,0.007183031,0.001381239,0.00004144858,0.00004671089,0.000004225192,0.02374374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2641785,"threshold_uncertainty_score":0.9976573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616965784307937,"score_gpt":0.218758872662457,"score_spread":0.1925892148193777,"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."}}