{"id":"W4210587354","doi":"10.1002/ange.201800367","title":"Chelating N‐Heterocyclic Carbene Ligands Enable Tuning of Electrocatalytic CO<sub>2</sub> Reduction to Formate and Carbon Monoxide: Surface Organometallic Chemistry","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canadian Institute for Advanced Research; U.S. Department of Energy; Howard Hughes Medical Institute","keywords":"Chemistry; Denticity; Carbene; Chelation; Formate; Palladium; Carbon monoxide; Organometallic chemistry; Electrochemistry; Reactivity (psychology); Catalysis; Ligand (biochemistry); Inorganic chemistry; Electrocatalyst; Combinatorial chemistry; Polymer chemistry; Photochemistry; Organic chemistry; Electrode; Physical chemistry; Crystal structure","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":[0.0001713663,0.0002734509,0.0003731582,0.0000871503,0.0001395666,0.00004280149,0.0001658062,0.000178952,0.0000350294],"category_scores_gemma":[0.00004399179,0.0002908329,0.00008228685,0.0004803054,0.0001138289,0.0001938181,0.0001101006,0.0001832449,0.000008171412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624507,"about_ca_system_score_gemma":0.00003711952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003387618,"about_ca_topic_score_gemma":0.00002305806,"domain_scores_codex":[0.998473,0.000009099789,0.0004265759,0.0004304444,0.0002178464,0.0004430503],"domain_scores_gemma":[0.9990292,0.00001839712,0.000214947,0.0004209751,0.0001396702,0.0001768256],"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":[0.00004048103,0.00002499881,0.00008624856,0.0001194109,0.00005830281,0.000001335946,0.0005428414,0.00002286765,0.997214,0.00001191096,0.0001194214,0.001758168],"study_design_scores_gemma":[0.0002935525,0.00009900986,0.00004394283,0.00008498855,0.00006585175,0.00008643812,0.0002488133,0.00009743184,0.9977756,0.0001517279,0.0007495619,0.0003031373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930695,0.0003737646,0.00003531451,0.00007273792,0.00007068297,0.0001540518,0.000005169962,0.0001998708,0.006018939],"genre_scores_gemma":[0.9987046,0.0001980926,0.0001627649,0.00002566127,0.0002924395,0.00002293511,0.00006692741,0.0000561401,0.000470455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005635116,"threshold_uncertainty_score":0.9999544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105459591879076,"score_gpt":0.2325896399643255,"score_spread":0.2220436807764179,"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."}}