{"id":"W4414821966","doi":"10.1021/jacs.5c12445","title":"Controlling Selectivity in Electrochemical Conversion of Organic Mixtures through Dynamic Control of Electrode Microenvironments","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; York University; National Science Foundation","keywords":"Selectivity; Electrosynthesis; Electrolysis; Substrate (aquarium); Electrochemistry; Chemical reaction; Chemical kinetics; Acrylonitrile","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003284142,0.0003532097,0.0001794198,0.0002145074,0.0001315572,0.000626056,0.0003234698,0.0002237741,0.0006251113],"category_scores_gemma":[0.0006841365,0.0002019551,0.00009865015,0.0002154624,0.0003422828,0.0005625828,0.0003016151,0.0004956893,0.000213954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234044,"about_ca_system_score_gemma":0.0001684949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728631,"about_ca_topic_score_gemma":0.0008867334,"domain_scores_codex":[0.9997868,0.00002355053,0.00001796126,0.0000702041,0.0000665085,0.00003499574],"domain_scores_gemma":[0.9997634,0.0001205455,0.00004781935,0.00001957114,0.00003142302,0.00001715555],"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":[0.00002691861,0.00001245029,0.0001279866,0.00002344267,0.000002966684,0.00001311952,0.00001195901,0.0002499045,0.996029,0.0002295692,0.0000316948,0.003240906],"study_design_scores_gemma":[0.000004971944,0.00003556711,0.0003212591,0.000001710668,0.000003549884,0.00002026638,0.00001106028,0.004044714,0.9948282,0.00008170747,0.0006424973,0.000004451567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959662,0.00146078,0.03477303,0.000243473,0.00004982745,0.00003690811,0.0001587178,0.0002918145,0.003323321],"genre_scores_gemma":[0.9925985,0.0006298274,0.005991308,0.00005772612,0.00001323473,0.00002534929,0.00004478905,0.00002511736,0.0006141627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000626056,"threshold_uncertainty_score":0.002346456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002132154459998376,"score_gpt":0.2209000490634834,"score_spread":0.218767894603485,"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."}}