{"id":"W4288036462","doi":"10.1021/acsaem.2c00944","title":"Atomically Isolated Nickel–Nitrogen–Carbon Electrocatalysts Derived by the Utilization of Mg<sup>2+</sup> ions as Spacers in Bimetallic Ni/Mg–Metal–Organic Framework Precursors for Boosting the Electroreduction of CO<sub>2</sub>","year":2022,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); McMaster University","funders":"Consiglio Nazionale delle Ricerche; McMaster University","keywords":"Bimetallic strip; Materials science; Transition metal; Catalysis; Nickel; Electrochemistry; Metal; Chemical engineering; Metal-organic framework; Inorganic chemistry; Nanotechnology; Electrode; Adsorption; Chemistry; Metallurgy; Physical chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006279751,0.0002837465,0.0001943332,0.0001593079,0.0001156737,0.0002732385,0.0004312595,0.0003087705,0.000557896],"category_scores_gemma":[0.0001180994,0.0001735536,0.0001435515,0.0001420223,0.0001792982,0.0003252445,0.0002173402,0.0003417329,0.0002363899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336956,"about_ca_system_score_gemma":0.0001520543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007683401,"about_ca_topic_score_gemma":0.003450303,"domain_scores_codex":[0.9999024,0.000004873838,0.000006822548,0.00002756216,0.00003982323,0.00001860477],"domain_scores_gemma":[0.9999502,0.000005879431,0.00001754862,0.000007094722,0.000008915976,0.00001037946],"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":[0.00002026492,0.00001036574,0.00007241833,0.00003839692,0.000004083821,0.00004119883,0.000007785719,0.00006511111,0.9977524,0.0001273438,0.00003713481,0.001823564],"study_design_scores_gemma":[0.000003525006,0.00002876635,0.000739686,0.000001835697,0.00000660123,0.00006397128,0.000007375934,0.001018136,0.996808,0.00001785624,0.001301124,0.000003055982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984006,0.002057835,0.00820788,0.00008867153,0.00007758055,0.00005093352,0.0002063758,0.0003542027,0.004950515],"genre_scores_gemma":[0.9901257,0.0004983349,0.007620229,0.00002629458,0.000009470083,0.00002047265,0.0001596153,0.00002457121,0.001515445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007683401,"threshold_uncertainty_score":0.002421141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009573202002383922,"score_gpt":0.2314730987327716,"score_spread":0.2218998967303877,"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."}}