{"id":"W7055649512","doi":"","title":"Copper doped ceria catalyst prepared by reverse microemulsion method for thermocatalytic conversion of carbon dioxide via reverse water gas shift","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Microemulsion; Carbon monoxide; Copper; Nanoparticle; Water-gas shift reaction; X-ray photoelectron spectroscopy; Desorption","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001588802,0.000353363,0.0004151416,0.000275086,0.0001345503,0.0002543503,0.0003429912,0.0003190287,0.0004241778],"category_scores_gemma":[0.0001853577,0.0001952261,0.0002914262,0.0002051189,0.0001728982,0.0003103497,0.0002127329,0.0003878161,0.0002638793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030519,"about_ca_system_score_gemma":0.0002090973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006832725,"about_ca_topic_score_gemma":0.001197422,"domain_scores_codex":[0.9998705,0.000009114151,0.00001503451,0.00003962735,0.00003757339,0.0000280892],"domain_scores_gemma":[0.9999133,0.000009763623,0.00002284409,0.000008919568,0.00003440967,0.00001060533],"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":[0.00003274195,0.000009780952,0.000070654,0.00005131083,0.000005233854,0.00004860139,0.000008706837,0.00007462819,0.9981988,0.00008815475,0.00002957002,0.001381854],"study_design_scores_gemma":[0.000004336923,0.00003333873,0.0002052382,0.000001601537,0.000006175938,0.00004976009,0.000004516492,0.0006000911,0.9984424,0.00001007209,0.0006395941,0.000002912736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768559,0.002512403,0.0173696,0.00009933903,0.00009491931,0.00007224601,0.0002264741,0.0002828281,0.002486316],"genre_scores_gemma":[0.9848015,0.0008715754,0.01155365,0.00002891908,0.00001226851,0.00004812068,0.0002289452,0.00005366126,0.002401337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006832725,"threshold_uncertainty_score":0.002214313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007832207489484938,"score_gpt":0.2111872369329796,"score_spread":0.2033550294434947,"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."}}