{"id":"W4289745585","doi":"10.1002/cjce.24587","title":"Activity performance and kinetics for glycerol carbonylation with urea over <scp>Zn‐Co</scp> mixed metal oxide catalyst","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council of Scientific and Industrial Research, India","keywords":"Catalysis; Chemistry; Glycerol; Carbonylation; Inorganic chemistry; X-ray photoelectron spectroscopy; Oxide; Metal; Urea; Nuclear chemistry; Chemical engineering; Organic chemistry; Carbon monoxide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001839464,0.0003093804,0.0002601371,0.0002855677,0.0001440876,0.0002696637,0.0003525409,0.0002713734,0.0006810345],"category_scores_gemma":[0.0002562856,0.0001536069,0.000214362,0.0002585989,0.0001466242,0.0001863174,0.0001400482,0.0002579862,0.000243321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107875,"about_ca_system_score_gemma":0.000259225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00444889,"about_ca_topic_score_gemma":0.00841993,"domain_scores_codex":[0.9998425,0.00001237979,0.00001308305,0.00002531696,0.00006445398,0.0000421719],"domain_scores_gemma":[0.9999224,0.00001652846,0.00001614983,0.000005474742,0.00002716496,0.00001233663],"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":[0.0002446485,0.00003095156,0.0006883253,0.00008451279,0.00001004379,0.00005330485,0.00002616946,0.0004215611,0.9960027,0.00007329565,0.00007430503,0.002290215],"study_design_scores_gemma":[0.000003809497,0.0001575673,0.001154176,0.000003240443,0.000009120241,0.00002321237,0.00001230131,0.002605328,0.9956253,0.00000647449,0.0003953523,0.000004117791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972894,0.0006349569,0.0007319326,0.00002960711,0.00001313284,0.00001132538,0.0001800705,0.00005666311,0.001053027],"genre_scores_gemma":[0.9984822,0.0002613645,0.0004999719,0.000003501218,0.00000166214,0.000006867943,0.0001148202,0.00000661395,0.0006230964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00444889,"threshold_uncertainty_score":0.008845985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007970280424709266,"score_gpt":0.1914767797010002,"score_spread":0.1835064992762909,"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."}}