{"id":"W2521192923","doi":"10.1021/acscatal.6b01805","title":"Role of the Cu-ZrO<sub>2</sub> Interfacial Sites for Conversion of Ethanol to Ethyl Acetate and Synthesis of Methanol from CO<sub>2</sub> and H<sub>2</sub>","year":2016,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Basic Energy Sciences; Office of Science; Division of Materials Research; U.S. Department of Energy; Canadian Light Source; National Science Foundation","keywords":"Catalysis; Ethyl acetate; Methanol; Chemistry; Chemisorption; Infrared spectroscopy; Fourier transform infrared spectroscopy; Spectroscopy; Inductively coupled plasma; Absorption spectroscopy; Inorganic chemistry; Absorption (acoustics); Materials science; Organic chemistry; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001684889,0.0004774223,0.001166034,0.0003408201,0.0002060292,0.00009328871,0.00126488,0.0002646609,0.00002688946],"category_scores_gemma":[0.002738083,0.0003371539,0.0002286477,0.0007068953,0.001416304,0.0007104452,0.001147082,0.0001091284,0.00004472976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000923599,"about_ca_system_score_gemma":0.0001865575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386093,"about_ca_topic_score_gemma":0.0001126858,"domain_scores_codex":[0.9961362,0.0002210822,0.001095386,0.001077437,0.0008528062,0.000617097],"domain_scores_gemma":[0.9952244,0.001849854,0.00104402,0.00116556,0.0004885633,0.0002276686],"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":[0.000338833,0.0001009482,0.0005912068,0.0003166319,0.0000976466,0.000001113715,0.001597916,0.00001019839,0.9870162,0.0000255418,0.00009109233,0.009812663],"study_design_scores_gemma":[0.0007574512,0.0001547976,0.001282443,0.000351509,0.0004923905,0.000007636052,0.0004410695,0.00007811066,0.9949871,0.001016453,0.00002214023,0.000408899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954078,0.0003007969,0.001114624,0.0003596596,0.0003212535,0.0007327894,0.001690479,0.00005055859,0.00002210076],"genre_scores_gemma":[0.9987404,0.0003448894,0.0005675133,0.00008308626,0.00007100401,0.0001130309,0.000023805,0.00005101692,0.000005253004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009403764,"threshold_uncertainty_score":0.999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036654229885844,"score_gpt":0.2352000988836873,"score_spread":0.2248335565848288,"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."}}