{"id":"W4288077309","doi":"10.1002/cjce.24576","title":"Catalytic oxidation of glycerol in alkaline medium – Influence of mass transport limitations","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalysis; Chemistry; Glycerol; Mass transfer; Selectivity; Redox; Reaction rate; Reaction mechanism; Metal; Reaction intermediate; Mass transport; Kinetic control; Inorganic chemistry; Chemical engineering; Organic chemistry; Chromatography; Biochemical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494572,0.00007890635,0.0001863098,0.0003259602,0.00001796549,0.000003026486,0.0002749233,0.00003361639,0.00001969706],"category_scores_gemma":[0.00008308786,0.00007821253,0.00007894601,0.0004633778,0.00003556559,0.00009364733,0.000007646561,0.0002494191,5.040073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809979,"about_ca_system_score_gemma":0.0001656754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008160448,"about_ca_topic_score_gemma":0.0004355384,"domain_scores_codex":[0.9991661,0.000006790006,0.000424799,0.00004712816,0.0002109846,0.0001442146],"domain_scores_gemma":[0.9995314,0.00007247715,0.00008919229,0.0001242255,0.00006231594,0.0001203421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004422784,0.000002273149,0.0001714525,0.00002888818,0.00002139832,0.000007230813,0.000287227,0.5127112,0.4866777,0.00002454616,0.00001374948,0.0000499165],"study_design_scores_gemma":[0.0005004902,0.0000339513,0.002681508,0.00007426198,0.00007208493,0.00005902091,0.00009330962,0.05093542,0.9448721,0.00005792641,0.0004797827,0.0001401902],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990924,0.0001472562,0.0004035369,0.0001501757,0.00009985401,0.00005179416,0.00002090018,0.000006861365,0.00002722431],"genre_scores_gemma":[0.999705,0.000003474505,0.00022627,0.000007736477,0.00001900066,0.000003019771,0.00001783646,0.00001527808,0.000002354381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4617757,"threshold_uncertainty_score":0.3189414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007391087734242174,"score_gpt":0.1690565141740557,"score_spread":0.1616654264398135,"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."}}