{"id":"W201757610","doi":"","title":"유전자변형(GM)작물의 진흥과 규제에 관한 정책 유형의 분류와 적용: 해외 GM작물 재배국을 중심으로","year":2007,"lang":"ko","type":"article","venue":"Seoul National University Open Repository (Seoul National University)","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":[],"category_scores_codex":[0.002605513,0.0006678377,0.0006625467,0.001293727,0.005390768,0.0004105633,0.003086657,0.0009766755,0.001162141],"category_scores_gemma":[0.000177334,0.0009096163,0.0005288093,0.00261213,0.001287633,0.00334396,0.001351879,0.0008650925,0.0005797133],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008692503,"about_ca_system_score_gemma":0.002318803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008387083,"about_ca_topic_score_gemma":0.003921018,"domain_scores_codex":[0.9920272,0.001025835,0.000682288,0.001482261,0.003731884,0.001050521],"domain_scores_gemma":[0.9954835,0.001019608,0.0008812717,0.0004195175,0.001352073,0.0008440207],"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":[0.001502377,0.001388504,0.03683857,0.00008478568,0.001187058,0.002296561,0.003891773,0.006571041,0.00164099,0.926505,0.01752725,0.0005661041],"study_design_scores_gemma":[0.003901285,0.0002839022,0.05580818,0.000198672,0.000279563,0.0001029873,0.02397775,0.0004883287,0.0007159319,0.00156168,0.9110557,0.001625955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1358127,0.00009878005,0.0006216685,0.001899311,0.002012209,0.001007267,0.0003575184,0.0001623714,0.8580282],"genre_scores_gemma":[0.7387049,0.0001671833,0.0004950134,0.0003334981,0.000838072,5.121038e-7,0.0002760678,0.0000377178,0.2591471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9249433,"threshold_uncertainty_score":0.9997509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219257556759675,"score_gpt":0.2523385332754474,"score_spread":0.2304127775994799,"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."}}