{"id":"W2893170823","doi":"10.1039/c8ra06309e","title":"Reactive adsorption desulfurization of NiO and Ni<sup>0</sup> over NiO/ZnO–Al<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub> adsorbents: role of hydrogen pretreatment","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"Fundamental Research Funds for the Central Universities","keywords":"Non-blocking I/O; Flue-gas desulfurization; Adsorption; X-ray photoelectron spectroscopy; Temperature-programmed reduction; Hydrogen; Materials science; Transmission electron microscopy; Analytical Chemistry (journal); Chemical engineering; Inorganic chemistry; Nuclear chemistry; Chemistry; Catalysis; Physical chemistry; Nanotechnology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002723824,0.0006279249,0.0008988343,0.0004237301,0.0002126036,0.00005187405,0.0002134803,0.0002222786,0.00001527012],"category_scores_gemma":[0.0001334723,0.0006249039,0.0002231613,0.0008487023,0.0003363461,0.001136173,0.000159246,0.0002003602,0.00005035863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235718,"about_ca_system_score_gemma":0.00004828556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002047429,"about_ca_topic_score_gemma":0.000157487,"domain_scores_codex":[0.9968569,0.00009657195,0.001003032,0.0007786523,0.0006985662,0.0005662416],"domain_scores_gemma":[0.9981147,0.0001597007,0.0005275216,0.0005978109,0.0004199796,0.0001802833],"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":[0.0001457166,0.0002234446,0.004468709,0.0001801784,0.0005298031,0.000002285068,0.001745205,0.01918143,0.9513059,0.0001334752,0.0002336604,0.02185021],"study_design_scores_gemma":[0.001227806,0.0002911604,0.007631056,0.0002702182,0.0003258782,0.000008851489,0.0005615394,0.01448579,0.9729452,0.0007488934,0.0009263981,0.0005771995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903426,0.005329676,0.002306314,0.00002742943,0.0002215238,0.0006894213,0.0002830228,0.0002476347,0.0005523406],"genre_scores_gemma":[0.9912096,0.007729661,0.0002196239,0.00004098292,0.0002498401,0.0001331163,0.0002914278,0.0001180117,0.000007706388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163932,"threshold_uncertainty_score":0.9996202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005788260353015696,"score_gpt":0.215801387857095,"score_spread":0.2100131275040793,"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."}}