{"id":"W2060175079","doi":"10.1016/j.cattod.2014.07.033","title":"Preparation of NiMoS nanoparticles for hydrotreating","year":2014,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Sulfidation; X-ray photoelectron spectroscopy; Hydrodesulfurization; Vacuum distillation; Microemulsion; Catalysis; Nanoparticle; Sulfide; Materials science; Adsorption; Dynamic light scattering; Chemical engineering; Nuclear chemistry; Inorganic chemistry; Chemistry; Distillation; Nanotechnology; Organic chemistry; Metallurgy; Pulmonary surfactant","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000944311,0.0001903953,0.0001429094,0.00009674605,0.0001433011,0.0001405139,0.0001234761,0.0001526673,0.0009814935],"category_scores_gemma":[0.0001150043,0.00009664112,0.000112541,0.00006418426,0.0001026311,0.0001966887,0.0001271714,0.000209053,0.0003078525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746183,"about_ca_system_score_gemma":0.0001767044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000765083,"about_ca_topic_score_gemma":0.00252796,"domain_scores_codex":[0.9999527,0.000003582241,0.000002292158,0.00001074817,0.00002196472,0.000008851381],"domain_scores_gemma":[0.999976,0.000004459589,0.000004982634,0.000003069831,0.000007725647,0.000003725369],"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":[0.00001987027,0.000006582029,0.00005471376,0.00003716807,0.0000023591,0.00001924216,0.00001620396,0.000104676,0.9975989,0.0001591696,0.00004657889,0.001934441],"study_design_scores_gemma":[0.000001756134,0.00003497248,0.0002606866,0.000002065795,0.000002384988,0.00002125538,0.000009470189,0.0003588952,0.9975199,0.00002948629,0.001757746,0.00000132773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746326,0.001201298,0.01148847,0.0001270921,0.00004852985,0.0000629303,0.0001542317,0.00009101482,0.01219393],"genre_scores_gemma":[0.987009,0.0006857422,0.006751123,0.00003378072,0.000007065275,0.00003091771,0.0001592433,0.00003711272,0.005286132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009814935,"threshold_uncertainty_score":0.003283381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009491996831148087,"score_gpt":0.2530364662988758,"score_spread":0.2435444694677277,"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."}}