{"id":"W2932782849","doi":"10.1016/j.fuel.2019.03.066","title":"Transformation and regulation of sulfur during pyrolysis of coal blend with high organic-sulfur fat coal","year":2019,"lang":"en","type":"article","venue":"Fuel","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"Shanxi Scholarship Council of China; National Natural Science Foundation of China; Canadian Light Source","keywords":"Sulfur; Coal; Coke; Pyrolysis; Chemistry; Flue-gas desulfurization; Carbon fibers; Organic chemistry; Chemical engineering; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008355152,0.00007641663,0.0001547574,0.00006020798,0.00003202458,0.00001093046,0.00005924712,0.00003469296,0.00080492],"category_scores_gemma":[0.000006487054,0.0000567725,0.00001592199,0.0001521937,0.00004059033,0.0002935482,0.000004758285,0.00004542567,0.00002698959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000170699,"about_ca_system_score_gemma":0.00002194116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006232362,"about_ca_topic_score_gemma":0.0007557117,"domain_scores_codex":[0.9993683,0.00001884372,0.0001748615,0.0001360191,0.0001922289,0.0001097568],"domain_scores_gemma":[0.9996813,0.000023235,0.00009192213,0.0001177774,0.00005143473,0.00003435371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000731429,0.00004232503,0.7815056,0.000980166,0.00006499638,0.000001829724,0.002559947,0.004830729,0.2044635,0.0002154169,0.00004825142,0.004555725],"study_design_scores_gemma":[0.0005343215,0.0001807641,0.8773824,0.00002768056,0.00002191325,0.00000722023,0.000188402,0.0003934738,0.1209602,0.0001004946,0.0001237043,0.00007946215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980077,0.0001523969,0.00002990138,0.0001461096,0.00007807805,0.0001408571,0.00004939587,0.00001209099,0.001383456],"genre_scores_gemma":[0.9993062,0.00004122181,0.0001066521,0.000007576831,0.00003950365,1.818772e-7,0.00009109904,0.000002502465,0.0004050725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09587675,"threshold_uncertainty_score":0.881331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006273360629651658,"score_gpt":0.1660412091347662,"score_spread":0.1597678485051146,"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."}}