{"id":"W3174273057","doi":"10.1016/j.jiec.2021.06.010","title":"Catalytic dehydration of glucose to 5-HMF using heterogeneous solid catalysts in a biphasic continuous-flow tubular reactor","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial and Engineering Chemistry","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Government of Ontario","keywords":"Catalysis; Chemistry; Yield (engineering); Dehydration; Dehydration reaction; Activation energy; Reaction rate; Brønsted–Lowry acid–base theory; Lewis acids and bases; Aqueous solution; Inorganic chemistry; Nuclear chemistry; Organic chemistry; Materials science; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723743,0.0001666001,0.0004163434,0.0001415525,0.00001204123,0.0000286596,0.0001033315,0.0001867703,0.000009074934],"category_scores_gemma":[0.0001935201,0.0001794798,0.0001094597,0.000360603,0.00001219403,0.0001265662,0.00004291841,0.0002701937,6.693677e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194885,"about_ca_system_score_gemma":0.0000774872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882577,"about_ca_topic_score_gemma":0.000003344691,"domain_scores_codex":[0.998913,0.000006830837,0.0005664988,0.0001246525,0.0001970091,0.0001920339],"domain_scores_gemma":[0.9994436,0.00003795598,0.0001139762,0.0001540047,0.00009715137,0.0001533389],"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":[0.00002404078,0.00002015833,0.000244825,0.000102537,0.00008889554,0.0001680927,0.0001101176,0.1115052,0.8865333,1.225262e-7,0.00004202528,0.001160676],"study_design_scores_gemma":[0.0008045604,0.00002267296,0.00004515436,0.0003325183,0.00006161391,0.0004937106,0.00005178067,0.03781271,0.9599619,0.000001145191,0.0002531368,0.0001591096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983404,0.0008157153,0.0004380499,0.00002205581,0.0002905331,0.00004748836,0.00001348327,0.0000177293,0.00001459315],"genre_scores_gemma":[0.9991947,0.00004101819,0.0004498436,0.000003240157,0.0002607448,9.64219e-7,0.00001891375,0.00002524371,0.000005346165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07369254,"threshold_uncertainty_score":0.7318975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238016082750444,"score_gpt":0.2083963944404659,"score_spread":0.1960162336129614,"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."}}