{"id":"W2755269164","doi":"","title":"시멘트 소성시설에서의 수은 배출특성 및 최신 측정방법 적용성 평가 연구","year":2017,"lang":"ko","type":"article","venue":"한국대기환경학회지(국문)","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Sorbent; Kiln; Ohm; Environmental science; Waste management; Cement; Cement kiln; Raw material; Environmental chemistry; Chemistry; Materials science; Metallurgy; Engineering; Computer science; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011082,0.0002252324,0.0002522971,0.0005396521,0.000368514,0.0005603154,0.0003177738,0.0003600573,0.001298373],"category_scores_gemma":[0.000886458,0.0001212597,0.0002255432,0.0009049204,0.0004135581,0.000525404,0.000242748,0.0004363173,0.0006484495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006128215,"about_ca_system_score_gemma":0.0008400709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004956078,"about_ca_topic_score_gemma":0.008748742,"domain_scores_codex":[0.9989294,0.0001152965,0.00003964677,0.0002331842,0.000628726,0.00005366735],"domain_scores_gemma":[0.9993425,0.0001026461,0.0001506937,0.00003521281,0.0003484782,0.00002052394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002900918,0.0001515123,0.08954626,0.001264953,0.0001289506,0.0004409292,0.0005034825,0.003487545,0.5109348,0.004233909,0.002497188,0.3865204],"study_design_scores_gemma":[0.00001773791,0.0007452964,0.1302004,0.00007828302,0.0001574042,0.001189534,0.0005744777,0.01383265,0.7583625,0.003085467,0.09166788,0.00008850676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495092,0.01685569,0.09260004,0.001755563,0.0002826148,0.0001740735,0.0008813138,0.0004676464,0.0374738],"genre_scores_gemma":[0.9433054,0.005557595,0.03806116,0.0002956355,0.00008757156,0.00004550229,0.000544848,0.00003144808,0.01207079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004956078,"threshold_uncertainty_score":0.009854436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944790733484895,"score_gpt":0.2796594586513604,"score_spread":0.2602115513165114,"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."}}