{"id":"W3113233278","doi":"10.1021/jacs.0c10774","title":"Intermediate Binding Control Using Metal–Organic Frameworks Enhances Electrochemical CO<sub>2</sub> Reduction","year":2020,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology; National Research Foundation of Korea","keywords":"Chemistry; Metal-organic framework; X-ray absorption spectroscopy; Selectivity; Electrochemistry; Catalysis; Electrocatalyst; Inorganic chemistry; Redox; Lewis acids and bases; Adsorption; Combinatorial chemistry; Absorption spectroscopy; Electrode; Organic chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192994,0.0002038067,0.0005209519,0.00002289488,0.0001081944,0.00005472929,0.0004681737,0.0001720435,0.00003908817],"category_scores_gemma":[0.0002110334,0.000148774,0.0008641224,0.000626486,0.0004075879,0.0001880236,0.00008542101,0.001442423,0.000005276165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322293,"about_ca_system_score_gemma":0.00009559071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009355574,"about_ca_topic_score_gemma":1.588193e-7,"domain_scores_codex":[0.9983999,0.00008021956,0.0005547065,0.000224507,0.00042322,0.0003174517],"domain_scores_gemma":[0.9983607,0.00007399774,0.001054274,0.0001782456,0.0001388102,0.0001939697],"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":[0.0001085398,0.00004046312,0.00002415219,0.00001006997,0.0002418623,0.000001134078,0.0002813211,0.00002030546,0.9938834,0.000009624845,0.001733768,0.003645323],"study_design_scores_gemma":[0.0002951022,0.00009699113,0.00001710745,0.00004101249,0.0001878924,0.0001672961,0.0006096122,0.0005340907,0.9971389,0.0002313575,0.000512457,0.0001681412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895447,0.0001429683,0.007289934,0.002658117,0.0002077157,0.0000737802,0.000002141835,0.00005825422,0.00002241767],"genre_scores_gemma":[0.9959074,0.0002392671,0.001211848,0.001224659,0.001373726,0.000002952162,0.000002364309,0.00003414756,0.000003679595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006362686,"threshold_uncertainty_score":0.626669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008780908599683014,"score_gpt":0.2503424015429385,"score_spread":0.2415614929432555,"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."}}