{"id":"W3002420327","doi":"","title":"토양증기추출(Soil Vapor Extraction)을 이용한 토양 내 Trichloroethylene(TCE)과 Toluene 정화 실험","year":2002,"lang":"ko","type":"article","venue":"Economic and Environmental Geology","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trichloroethylene; Toluene; Chlorinated solvents; Extraction (chemistry); Environmental chemistry; Soil water; Environmental science; Chemistry; Chromatography; Soil science; Groundwater; Organic chemistry; Geology; Geotechnical engineering","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002664937,0.0004981505,0.000555778,0.0000377656,0.0006369118,0.0000985849,0.0004854051,0.00050118,0.006856343],"category_scores_gemma":[0.00001554135,0.0002667339,0.0001780318,0.0001008619,0.0009081623,0.0004853654,0.0003345138,0.0003909709,0.004431817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414216,"about_ca_system_score_gemma":0.000006745302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008610442,"about_ca_topic_score_gemma":0.0006382983,"domain_scores_codex":[0.9970272,0.0001412535,0.0006139953,0.001156043,0.000161968,0.0008995005],"domain_scores_gemma":[0.9987847,0.0002733312,0.0003543262,0.0001746008,0.000003887645,0.0004092175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002020364,0.001401147,0.7388778,0.00003709079,0.0002645548,0.0002465427,0.001295915,0.001498146,0.0200373,0.001054856,0.03806988,0.1970147],"study_design_scores_gemma":[0.0009747142,0.0009706569,0.8568453,0.00001627661,0.00009817242,0.001113503,0.00232743,0.004695959,0.001518056,0.000557005,0.1296613,0.001221642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867949,0.003248975,0.000003368976,0.003211566,0.001169811,0.0002904506,0.0002222928,0.00005104285,0.005007581],"genre_scores_gemma":[0.968727,0.009372217,0.00005517297,0.0008330472,0.0008435438,0.00002525527,0.000153393,0.000004758777,0.0199856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957931,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210586719248165,"score_gpt":0.176272843057523,"score_spread":0.1641669758650413,"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."}}