{"id":"W4226448829","doi":"10.1002/jctb.7088","title":"Electrolysis of glycerol to value‐added chemicals in alkaline media","year":2022,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Foundation for Innovation; McMaster University","keywords":"Electrolysis; Glycerol; Selectivity; Chronoamperometry; Electrochemistry; Catalysis; Chemistry; Inorganic chemistry; Nuclear chemistry; Electrode; Organic chemistry; Cyclic voltammetry; Electrolyte","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":[0.0001832186,0.0004200271,0.0002269598,0.0003448423,0.0001879651,0.0003636303,0.0005353487,0.0002695971,0.001448782],"category_scores_gemma":[0.0003066831,0.0001731349,0.0001718333,0.0003642963,0.0002523794,0.0003277845,0.0002454884,0.0005164544,0.0002370463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004844613,"about_ca_system_score_gemma":0.0003569973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181734,"about_ca_topic_score_gemma":0.005597158,"domain_scores_codex":[0.9997911,0.00001968082,0.00001386971,0.00003268665,0.000102146,0.00004060284],"domain_scores_gemma":[0.9999032,0.00003555675,0.00001654367,0.00000674168,0.00002817036,0.00000978],"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":[0.0001240238,0.00001201456,0.000233125,0.0001192146,0.000008463934,0.00009099214,0.00003847918,0.0001260896,0.9958284,0.0001660658,0.00007594815,0.003177054],"study_design_scores_gemma":[0.000004425447,0.00003944772,0.0003828227,0.000005863307,0.000008557625,0.0000341193,0.00003421063,0.0009016632,0.9976749,0.00002827853,0.0008827603,0.000002941423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885556,0.001752603,0.00525115,0.0001888094,0.00009549333,0.00004429348,0.0002571682,0.0001256474,0.003729293],"genre_scores_gemma":[0.9958159,0.0008584341,0.001770686,0.00002643631,0.000008816176,0.00001093134,0.0001021169,0.000007584032,0.001399125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004181734,"threshold_uncertainty_score":0.008314788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003303547630679746,"score_gpt":0.1960988423927661,"score_spread":0.1927952947620864,"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."}}