{"id":"W2527609872","doi":"10.1002/cjce.22697","title":"Modified and systematic synthesis of zinc oxide‐silica composite nanoparticles with optimum surface area as a proper H<sub>2</sub>S sorbent","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Iran Nanotechnology Initiative Council","keywords":"Calcination; Sorbent; Materials science; Response surface methodology; Nanoparticle; Zinc; Adsorption; Central composite design; BET theory; Composite number; Fourier transform infrared spectroscopy; Chemical engineering; Specific surface area; Nuclear chemistry; Chromatography; Chemistry; Nanotechnology; Metallurgy; Composite material; Catalysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003384381,0.0001907312,0.0004583497,0.00008924843,0.00003663276,0.00003956303,0.0002369194,0.00009384815,0.000005399643],"category_scores_gemma":[0.0003552776,0.0001034635,0.0000686259,0.0001223246,0.00007601202,0.0001000859,0.00001304261,0.0002131208,0.000002151572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196704,"about_ca_system_score_gemma":0.0001589715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009711356,"about_ca_topic_score_gemma":0.00002290628,"domain_scores_codex":[0.9988583,0.00002777307,0.0004761654,0.00009092009,0.0002252465,0.0003216207],"domain_scores_gemma":[0.9987706,0.0003406821,0.0001135453,0.0001905417,0.0001146635,0.0004699835],"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":[0.00002943464,0.000003617314,0.00002107825,0.0004425492,0.0001239695,0.00002228162,0.00007976847,0.1104817,0.8885658,0.00006095423,0.00002674609,0.0001421275],"study_design_scores_gemma":[0.0004836025,0.00002788447,0.00001668085,0.003828694,0.000116326,0.0002379232,0.0000141401,0.02734995,0.9677488,0.00001354935,0.000007105539,0.000155363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984276,0.0004176807,0.0004391158,0.0003681735,0.00005949698,0.0002132001,0.000006511309,0.00002624126,0.00004195015],"genre_scores_gemma":[0.9996148,0.000006133503,0.0002716772,0.00001036537,0.00004265484,0.00000792964,1.01545e-7,0.00004046131,0.000005877928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08313176,"threshold_uncertainty_score":0.421912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00863443901723175,"score_gpt":0.1633644792544163,"score_spread":0.1547300402371845,"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."}}