{"id":"W2390849225","doi":"","title":"Effect of Various Fly Ash Compositions on Mercury Speciation Transformation","year":2010,"lang":"en","type":"article","venue":"Proceedings of the CSEE","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fly ash; Mercury (programming language); Environmental chemistry; Chemistry; Particle size; Metallurgy; Environmental science; Mineralogy; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155085,0.00007577457,0.0001128835,0.00002610629,0.0001138608,0.000009635308,0.0001468846,0.00003841028,0.0001762339],"category_scores_gemma":[0.00007554815,0.00004982146,0.00006441356,0.0001574045,0.0001188977,0.0001966548,0.00003473831,0.0001123937,0.00004318683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425278,"about_ca_system_score_gemma":0.000002445004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002357654,"about_ca_topic_score_gemma":0.000009799814,"domain_scores_codex":[0.9994031,0.000006827294,0.0001689058,0.00007878226,0.0002517762,0.00009057527],"domain_scores_gemma":[0.999688,0.00005509121,0.0001496991,0.00005688691,0.00002360802,0.0000267138],"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":[0.00004100245,0.00004551539,0.0174908,0.00004712217,0.00001339174,1.468022e-8,0.002004016,0.00002472454,0.9710423,0.001925889,0.002078054,0.005287153],"study_design_scores_gemma":[0.0003261646,0.0002448314,0.148235,0.00003018221,0.00004425056,0.000002952372,0.00006789422,0.0001132736,0.8486817,0.0007462644,0.001434006,0.00007343564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939014,0.00000272077,0.00001206341,0.000556018,0.0001428164,0.0002435631,0.000007826166,0.00001368136,0.06000727],"genre_scores_gemma":[0.9996683,0.000005005248,0.0001006613,0.00005118335,0.00002691027,0.000009954059,0.000001527706,0.000004612898,0.0001318713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307442,"threshold_uncertainty_score":0.203166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005145094871494972,"score_gpt":0.2335459722460314,"score_spread":0.2284008773745364,"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."}}