{"id":"W4283022711","doi":"10.1021/acscatal.2c01654","title":"CO<sub>2</sub> Electrolysis via Surface-Engineering Electrografted Pyridines on Silver Catalysts","year":2022,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs","keywords":"Catalysis; Electrocatalyst; Electrochemistry; Electrolysis; Transition metal; Inorganic chemistry; Chemistry; Pyridine; Chemical engineering; Materials science; Carbon fibers; Reversible hydrogen electrode; Hydrogen; Electrode; Nanotechnology; Working electrode; Organic chemistry; Physical chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004318267,0.0005296134,0.0006541534,0.0006573815,0.0005707817,0.00008969302,0.0006648196,0.0001399764,0.0002692293],"category_scores_gemma":[0.00005902296,0.0005817714,0.0005760444,0.002886739,0.00005194083,0.000235782,0.0001776734,0.0006432341,0.0002091816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006234384,"about_ca_system_score_gemma":0.0000733194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242838,"about_ca_topic_score_gemma":0.0001542713,"domain_scores_codex":[0.9966012,0.0001141262,0.0005962395,0.0009086663,0.000905624,0.0008741962],"domain_scores_gemma":[0.9981076,0.0001019159,0.0002416402,0.001210602,0.0001242049,0.00021405],"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":[0.0001015532,0.0002421863,0.0001056199,0.00001708923,0.00062052,0.00004158746,0.0001391384,0.02482375,0.95272,0.0003970978,0.006775017,0.01401646],"study_design_scores_gemma":[0.0003490205,0.0002366592,0.0001595297,0.000005878243,0.0003622881,0.00008750105,0.00006523865,0.001828349,0.9728479,0.0001153308,0.02329077,0.0006515809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996336,0.0005333435,0.0003019539,0.0004417847,0.0002033957,0.0002717854,0.00004363797,0.001069604,0.0007984477],"genre_scores_gemma":[0.996339,0.0001051365,0.00007479487,0.0002206256,0.0001893681,0.000353738,0.002011765,0.0001431521,0.0005623744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0229954,"threshold_uncertainty_score":0.9996634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00550407184607251,"score_gpt":0.2086490089920024,"score_spread":0.2031449371459299,"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."}}