{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009612775,0.0009899626,0.000946603,0.0004318486,0.0009889347,0.001099693,0.002734364,0.0008312159,0.001489047],"category_scores_gemma":[0.0005311113,0.00110089,0.0003968298,0.0003417716,0.0003776033,0.0005327895,0.0009320035,0.001953805,0.006626463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006577076,"about_ca_system_score_gemma":0.000174578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915267,"about_ca_topic_score_gemma":0.0001166787,"domain_scores_codex":[0.9945887,0.00007529109,0.0008089169,0.00108924,0.001214179,0.002223691],"domain_scores_gemma":[0.9947411,0.000268185,0.0002050871,0.003769461,0.0001752494,0.0008408973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005734598,0.001797182,0.05275748,0.01280298,0.005341997,0.004756562,0.007819364,0.1671313,0.1635333,0.06837162,0.2017803,0.3133344],"study_design_scores_gemma":[0.007974774,0.000656913,0.1875388,0.002348282,0.000520112,0.0002473745,0.0005316545,0.3341265,0.05257935,0.002437765,0.4038091,0.007229344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736257,0.004847097,0.01372483,0.00471572,0.01085534,0.00263895,0.0004613126,0.003332045,0.185799],"genre_scores_gemma":[0.9829501,0.000601905,0.003204585,0.00008273464,0.002066625,0.0001390301,0.00004539776,0.0004636835,0.01044594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3061051,"threshold_uncertainty_score":0.9999372,"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."}}