{"id":"W4412389672","doi":"10.1039/d4su00826j","title":"Thermoelectrically powered CO <sub>2</sub> conversion in a reactive carbon electrolyzer","year":2025,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"Canada Foundation for Innovation; National Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Electrolysis; Carbon fibers; Environmental science; Waste management; Materials science; Chemistry; Engineering; Electrode; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005379307,0.0002158495,0.000339926,0.0003101925,0.00007692075,0.00002741898,0.0002152575,0.000229961,0.00003418176],"category_scores_gemma":[0.0004992235,0.0002132185,0.0001420193,0.001087413,0.0001022662,0.0001014958,0.00007378837,0.000397066,0.000004253538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002401681,"about_ca_system_score_gemma":0.0005661373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002523756,"about_ca_topic_score_gemma":0.000198731,"domain_scores_codex":[0.9981031,0.0002467624,0.0003950095,0.0005451984,0.0002071826,0.0005026877],"domain_scores_gemma":[0.9987538,0.0001178865,0.00009458829,0.0005938869,0.0003681627,0.00007166793],"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":[0.003184919,0.001648378,0.02145433,0.0004627861,0.0001890008,0.00009812159,0.001244502,0.0000826138,0.6493542,0.03722888,0.002374184,0.2826781],"study_design_scores_gemma":[0.000947147,0.0002058043,0.02257527,0.00002055728,0.00003277999,0.00000616366,0.000822494,0.0004697011,0.9247959,0.0399955,0.009812914,0.0003157584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740132,0.0001805381,0.0002111226,0.001208929,0.00007469796,0.0006211055,0.000001604351,0.0002703352,0.02341846],"genre_scores_gemma":[0.9991003,0.00004393559,0.00001304786,0.0001599044,0.00003230682,0.0001254525,0.00001643371,0.00001798241,0.0004906696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2823624,"threshold_uncertainty_score":0.8694797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003609205916464039,"score_gpt":0.2434769465362162,"score_spread":0.2398677406197522,"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."}}