{"id":"W4409246150","doi":"10.1016/j.apcatb.2025.125355","title":"Energy-conservative CO2 electroreduction for efficient formate co-generation","year":2025,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); McMaster University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Government of Saskatchewan; Canada First Research Excellence Fund; University of Alberta; University of Saskatchewan","keywords":"Formate; Chemistry; Environmental science; Catalysis; 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":[0.0001697432,0.0004268499,0.0003770534,0.0002086568,0.0001710368,0.0004699523,0.0004451132,0.0005255209,0.0009671233],"category_scores_gemma":[0.000167091,0.0001937818,0.0001933794,0.000194569,0.000265902,0.0005987727,0.0003381388,0.000542241,0.000429788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686622,"about_ca_system_score_gemma":0.0002699943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004688851,"about_ca_topic_score_gemma":0.001551534,"domain_scores_codex":[0.9997835,0.00002087024,0.00001134966,0.00005493632,0.00009164881,0.00003775451],"domain_scores_gemma":[0.9999441,0.00001140554,0.00001141171,0.000008924573,0.00001496653,0.000009153603],"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":[0.0000224031,0.00002336758,0.00005884298,0.00005282912,0.000005434646,0.00003304935,0.000007660776,0.0002030429,0.9953445,0.0002651342,0.00006362425,0.003920089],"study_design_scores_gemma":[0.000003977773,0.00006006914,0.0002110751,0.000002185981,0.000006636747,0.00005274039,0.000006155833,0.002308839,0.9950203,0.00004292514,0.002280274,0.000004861275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590048,0.00699512,0.1241866,0.0005685842,0.0002284793,0.0001917396,0.0002070818,0.0007500682,0.007867507],"genre_scores_gemma":[0.9673257,0.001818785,0.02683127,0.0000876128,0.00002604902,0.00003570268,0.000134898,0.00003309515,0.003706947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009671233,"threshold_uncertainty_score":0.00323534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007219934932121527,"score_gpt":0.2253598361506414,"score_spread":0.2181399012185199,"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."}}