{"id":"W1824675809","doi":"10.3968/j.est.1923847920120301.154","title":"Mobility and Transport of Inorganic Species in Weathered Hydraulic Disposed Coal Fly Ash: An Insight from Geochemical Fractionation and Statistical Evalu- ation","year":2012,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fly ash; Weathering; Chemical composition; Coal; Environmental chemistry; Fractionation; Extraction (chemistry); Geology; Chemistry; Mineralogy; Geochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111367,0.00007756121,0.0001300713,0.0001750387,0.00009400643,0.00001314857,0.00009093997,0.00009220721,0.0001153292],"category_scores_gemma":[0.0001365467,0.00006339709,0.000003953636,0.0004696122,0.0009225943,0.0005505864,0.0000165314,0.00008955846,0.000001060979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006952867,"about_ca_system_score_gemma":0.00005713038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040691,"about_ca_topic_score_gemma":0.003220021,"domain_scores_codex":[0.9991493,0.00002392447,0.0001540197,0.0002861053,0.0002042968,0.0001824042],"domain_scores_gemma":[0.9996462,0.00006601354,0.00004415974,0.0001123856,0.00005506211,0.00007621534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002749264,0.00005719373,0.9096366,0.000004401642,0.000002454156,0.000001119298,0.0003110859,0.000006819832,0.04557155,0.004332473,0.000003845446,0.04004502],"study_design_scores_gemma":[0.0001770141,0.000104772,0.9738216,0.000003962517,0.000005751303,0.000007637854,0.0002108211,0.001983662,0.01856605,0.004008285,0.001031479,0.00007901116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983354,0.0006511246,0.0001549143,0.0004248561,0.00006944407,0.00005032445,0.00003425707,0.00001920054,0.0002605075],"genre_scores_gemma":[0.9993683,0.0001172518,0.0003738641,0.00003028679,0.00003173685,9.224128e-7,0.00006202899,0.000001264742,0.00001433666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06418501,"threshold_uncertainty_score":0.3399337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100901075170637,"score_gpt":0.2073581238561964,"score_spread":0.19634911310449,"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."}}