{"id":"W2794669118","doi":"10.1016/j.cattod.2018.03.056","title":"Catalytic isomerization of glucose to fructose using heterogeneous solid Base catalysts in a continuous-flow tubular reactor: Catalyst screening study","year":2018,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Hydrotalcite; Catalysis; Isomerization; Chemistry; Calcination; Fructose; Heterogeneous catalysis; Inorganic chemistry; Mixed oxide; Yield (engineering); Magnesium; Nuclear chemistry; Organic chemistry; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003303353,0.0003486047,0.0004471651,0.0002664045,0.0002877001,0.0004550037,0.0008524825,0.0005357576,0.0007099363],"category_scores_gemma":[0.0003368972,0.0001829438,0.0003409264,0.0002859519,0.0003087266,0.000358237,0.0001758923,0.0004421512,0.0002192154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004634866,"about_ca_system_score_gemma":0.0003111244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004403814,"about_ca_topic_score_gemma":0.00309299,"domain_scores_codex":[0.9998129,0.0000258865,0.000007820377,0.00004341338,0.00005795667,0.00005199098],"domain_scores_gemma":[0.9999049,0.00003500275,0.00001285483,0.00001017525,0.00002285588,0.00001419593],"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":[0.0008712653,0.0002748198,0.0008398492,0.00007066731,0.00003359546,0.0001707433,0.00005151964,0.000695563,0.9908679,0.0002474217,0.0001189802,0.005757718],"study_design_scores_gemma":[0.0000456468,0.0007279817,0.001346252,0.000002448813,0.00002580609,0.0001206377,0.00003844396,0.004816828,0.9923481,0.00002599773,0.0004897367,0.00001211254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979249,0.0002952605,0.001049444,0.00002113948,0.000006562321,0.00001178653,0.00006085577,0.00001906719,0.0006109673],"genre_scores_gemma":[0.9980879,0.0002367432,0.001080884,0.000007218769,0.00000427225,0.000004558608,0.0001113801,0.000007577061,0.0004593801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004403814,"threshold_uncertainty_score":0.00875634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310447508740574,"score_gpt":0.2447295855927309,"score_spread":0.2316251105053251,"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."}}