{"id":"W4394960573","doi":"10.1002/cjce.25282","title":"The recycling of sulphur in waste and conversion to manganese sulphate: Process optimization, kinetic study, mechanistic insights","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sichuan University","keywords":"Manganese; Sulfur; Chemistry; Sulfur dioxide; Response surface methodology; Diffusion; Inorganic chemistry; Materials science; Organic chemistry; Chromatography","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":[0.0002285508,0.00009146724,0.0001611706,0.0001885684,0.00004670568,0.00006681625,0.0001355312,0.00002718864,0.000003228649],"category_scores_gemma":[0.000124318,0.00006033968,0.0000276655,0.0004143259,0.00002263648,0.00006152911,0.00001330742,0.0001612152,5.155554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007667131,"about_ca_system_score_gemma":0.00004781752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009520416,"about_ca_topic_score_gemma":0.0002893962,"domain_scores_codex":[0.9993621,0.000007753421,0.0003060284,0.0000662763,0.0001227985,0.0001350482],"domain_scores_gemma":[0.9995826,0.0001172496,0.000025851,0.00007858426,0.00007593619,0.0001197058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004178915,0.000002510702,0.0000299694,0.00009173014,0.00005326741,0.0000206585,0.002380526,0.9903848,0.006764676,0.0001145532,0.0000264412,0.0001267575],"study_design_scores_gemma":[0.0003464124,0.00004616482,0.0001049173,0.0004752651,0.00009988827,0.00005004359,0.0009623151,0.9417223,0.05554451,0.0001254699,0.0003227512,0.0001999996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994372,0.002964637,0.002123621,0.0001787287,0.0002116162,0.0001140448,0.000002123293,0.00001352139,0.0000197001],"genre_scores_gemma":[0.9997896,0.00004813778,0.00006868008,0.00000596391,0.00005871845,0.000003580617,7.184217e-7,0.00001778451,0.000006830728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04877984,"threshold_uncertainty_score":0.2460581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005576159380157808,"score_gpt":0.196718732104643,"score_spread":0.1911425727244851,"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."}}