{"id":"W2064550964","doi":"10.1007/bf02839825","title":"Concentrations and distribution of elements in milled-coal, power plant ashes and stack-emitted materials in a Western Canadian coal-fired power plant","year":2006,"lang":"en","type":"article","venue":"Geochemistry","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Stack (abstract data type); Coal; Power station; Power (physics); Hard coal; Environmental science; Coal fired power plant; Waste management; Distribution (mathematics); Mining engineering; Geology; Engineering; Electrical engineering; Mathematics; Computer science; Physics; Thermodynamics","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":[0.00007489407,0.0002161041,0.0002123635,0.001134055,0.002218746,0.0006624155,0.0007013635,0.0003963545,0.001006345],"category_scores_gemma":[0.0001927706,0.0002291127,0.0001798638,0.001027112,0.0005749004,0.0001967891,0.0002846232,0.0002933552,0.000172541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005700396,"about_ca_system_score_gemma":0.003387139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9686677,"about_ca_topic_score_gemma":0.9853066,"domain_scores_codex":[0.9998543,0.000003489234,0.000005923304,0.0000273334,0.00006724647,0.00004162086],"domain_scores_gemma":[0.9998015,0.00001631944,0.00001754696,0.000003079299,0.000117632,0.00004395337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001034289,0.0001689519,0.8854777,0.00009606206,0.00008631971,0.001024478,0.004704181,0.001881024,0.08682609,0.0002830425,0.0008766504,0.01754109],"study_design_scores_gemma":[0.000005183251,0.00004283815,0.9903333,0.000005558447,0.00001784739,0.0001506885,0.002192422,0.0009957739,0.005141469,0.00002642247,0.001075921,0.00001249419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985287,0.00004675244,0.00007127972,0.00001417074,0.000001047874,0.000005686306,0.0003872079,0.000006737455,0.0009383739],"genre_scores_gemma":[0.996838,0.00006606363,0.0002177898,0.00001419485,8.648543e-7,0.000003794274,0.0003170371,0.000004047135,0.002538263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03133231,"threshold_uncertainty_score":0.06303364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006272822084361619,"score_gpt":0.1785128612426282,"score_spread":0.1722400391582666,"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."}}