{"id":"W3210116490","doi":"10.1039/d1ee02818a","title":"Selective hydrogenation of furfural using a membrane reactor","year":2021,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Furfural; Membrane reactor; Palladium; Chemistry; Membrane; Chemical engineering; Waste management; Catalysis; Organic chemistry; Engineering","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":[0.0001647998,0.0003142887,0.0002608061,0.0001571929,0.0002989817,0.0003669016,0.0004414357,0.0006004271,0.0008188554],"category_scores_gemma":[0.0001919969,0.0002277289,0.0002524668,0.000147648,0.0001703254,0.0004996865,0.0003560538,0.0004170575,0.0005585297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859606,"about_ca_system_score_gemma":0.0002826656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008529676,"about_ca_topic_score_gemma":0.001034961,"domain_scores_codex":[0.999832,0.00001826962,0.000008755734,0.00004692186,0.00004694383,0.00004713791],"domain_scores_gemma":[0.9999597,0.00001315851,0.0000050399,0.000007331068,0.000007660067,0.000007148566],"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":[0.00002874363,0.000009154963,0.0000820606,0.00002553875,0.000003834286,0.00004374141,0.00000990745,0.00007194126,0.9968797,0.0002799828,0.00006597988,0.002499451],"study_design_scores_gemma":[0.000006140999,0.00003400529,0.0002177797,0.000001300391,0.000003417873,0.00007375277,0.000005677633,0.0009293694,0.9975545,0.00004267091,0.001127883,0.000003423869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973518,0.001031113,0.02001011,0.0003847526,0.00006777253,0.00003273945,0.0002482674,0.00033859,0.004368669],"genre_scores_gemma":[0.9904931,0.0005271152,0.00661023,0.00006136787,0.00001270574,0.00001650781,0.0001557067,0.00001557399,0.002107586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008529676,"threshold_uncertainty_score":0.002800286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005017344273450424,"score_gpt":0.1776495388587304,"score_spread":0.17263219458528,"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."}}