{"id":"W2133298077","doi":"10.1039/b401827c","title":"Speciation and mass-balance of mercury from pulverized coal fired power plants burning western Canadian subbituminous coals","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Mercury (programming language); Fly ash; Environmental chemistry; Coal; Chemistry; Bottom ash; Cold vapour atomic fluorescence spectroscopy; MERCURE; Particulates; Elemental mercury; Atomic absorption spectroscopy; Analytical Chemistry (journal); Mass spectrometry; Adsorption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268618,0.0004326313,0.0003006307,0.0006185922,0.001163749,0.0004604839,0.0004994446,0.0002159562,0.0008482667],"category_scores_gemma":[0.0002058501,0.0001508229,0.0002181424,0.000622226,0.0003895942,0.0001730374,0.0003375713,0.0002438277,0.0001412184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003861346,"about_ca_system_score_gemma":0.002235059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6699117,"about_ca_topic_score_gemma":0.8496944,"domain_scores_codex":[0.9996167,0.00001097231,0.00001088225,0.00005456425,0.0002570056,0.00004984272],"domain_scores_gemma":[0.9998901,0.000008663766,0.00001074791,0.000004363992,0.00007437598,0.00001180067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004364225,0.00007447279,0.1460596,0.0002380692,0.0001073186,0.0004961386,0.002183833,0.003140736,0.802765,0.0001646279,0.0002960885,0.04403786],"study_design_scores_gemma":[0.00002846802,0.0003306922,0.6715847,0.00002143866,0.0001093753,0.0002969903,0.001704681,0.003792051,0.316583,0.0001036666,0.005415363,0.00002964777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972925,0.0001379235,0.000924172,0.00001469789,0.000001804673,0.00003709097,0.000310688,0.00002222956,0.001258834],"genre_scores_gemma":[0.9924953,0.0002868967,0.002855659,0.00003219691,0.000001531559,0.00001650537,0.0005707467,0.00002890166,0.003712218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300883,"threshold_uncertainty_score":0.6640645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180210717990334,"score_gpt":0.227642817229057,"score_spread":0.2158407100491537,"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."}}