{"id":"W1965708179","doi":"10.1021/ef9002395","title":"Dynamic Analysis of Elemental Mercury Released from Thermal Decomposition of Coal<sup>†</sup>","year":2009,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Coal; Chemistry; Thermal decomposition; Decomposition; Elemental analysis; Analytical Chemistry (journal); Trace element; Environmental chemistry; Inorganic chemistry; Computer science","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":[0.0001563731,0.0001695342,0.0001104307,0.0003106537,0.0001564367,0.0001244981,0.0002542558,0.0001988093,0.0006354374],"category_scores_gemma":[0.0002908047,0.00008331558,0.0001080803,0.0002021013,0.0001573836,0.000185318,0.000139187,0.0002157442,0.0001314484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237245,"about_ca_system_score_gemma":0.0001467368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588805,"about_ca_topic_score_gemma":0.002281102,"domain_scores_codex":[0.999845,0.00001815155,0.000004353831,0.0000386391,0.00008346109,0.00001028577],"domain_scores_gemma":[0.9998734,0.0000382703,0.0000245679,0.00000818423,0.0000469713,0.000008625427],"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":[0.0001468531,0.00001516786,0.003162797,0.00003225249,0.000009496912,0.0000407302,0.00003997309,0.0001834955,0.984672,0.00005754066,0.00008535703,0.01155439],"study_design_scores_gemma":[0.000002755451,0.0001411744,0.01090432,0.000001933982,0.000008870445,0.0001479811,0.00002572473,0.002971285,0.9850526,0.00002960635,0.0007080163,0.000005605398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766462,0.0004161231,0.02095935,0.00006523093,0.00001942288,0.0000209409,0.000415247,0.0001581362,0.001299161],"genre_scores_gemma":[0.9834617,0.0002665802,0.01383845,0.00005282053,0.000007485867,0.00001635778,0.000222832,0.00002425691,0.002109469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001588805,"threshold_uncertainty_score":0.003159165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007332637187444186,"score_gpt":0.2523615781766204,"score_spread":0.2450289409891762,"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."}}