{"id":"W3004167868","doi":"10.1002/cjce.23715","title":"Preparation of modified manganese slag slurry for removal of hydrogen sulphide and phosphine","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Analysis and Testing Foundation of Kunming University of Science and Technology; National Natural Science Foundation of China","keywords":"Catalysis; Manganese; Chemistry; Slurry; Phosphine; Metal; Metal ions in aqueous solution; Inorganic chemistry; Hydrogen; Nuclear chemistry; Materials science; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076418,0.000331538,0.000355401,0.0003007485,0.0001316128,0.000218857,0.0002318444,0.0003126722,0.0005835454],"category_scores_gemma":[0.0001310619,0.0001300741,0.0003882916,0.0001839999,0.0001093572,0.0001500823,0.0001835937,0.0002441672,0.0001941371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568896,"about_ca_system_score_gemma":0.0001851756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354432,"about_ca_topic_score_gemma":0.003359052,"domain_scores_codex":[0.9998997,0.000009835216,0.000008734059,0.00001874353,0.00004096276,0.00002198407],"domain_scores_gemma":[0.9999677,0.000004545003,0.000007699553,0.000003071624,0.000009193644,0.000007796787],"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":[0.0000305188,0.00001394981,0.00009944712,0.00004262935,0.000005093166,0.00003680175,0.00000644824,0.0001118244,0.9984512,0.00001429636,0.00001784366,0.00116993],"study_design_scores_gemma":[0.00001183417,0.0002245876,0.001740062,0.000004953007,0.00001610051,0.00005678091,0.00002215782,0.001585216,0.9952578,0.00001842229,0.001056417,0.000005616921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943772,0.0006465933,0.003599364,0.00005411554,0.00005373032,0.00004217683,0.0001634095,0.00007635257,0.0009871037],"genre_scores_gemma":[0.9943529,0.0003046113,0.003615489,0.00002455531,0.000007893176,0.00001896219,0.0001524605,0.00001627049,0.001506798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354432,"threshold_uncertainty_score":0.002693117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160464878382167,"score_gpt":0.2133020918828316,"score_spread":0.1972556040446149,"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."}}