{"id":"W4327564974","doi":"10.1021/acsenergylett.3c00133","title":"Impurity-Resistant CO<sub>2</sub> Reduction Using Reactive Carbon Solutions","year":2023,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"Canada First Research Excellence Fund; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"NOx; Flue gas; Chemistry; Inorganic chemistry; Dissolution; Carbon fibers; Impurity; Carbonate; Redox; Oxidizing agent; Electrochemistry; Carbon dioxide; Sulfur; Ozone; Materials science; Combustion; Electrode; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002066826,0.0002413278,0.0002287844,0.0003993949,0.0003289861,0.00005178721,0.0001776289,0.0001519281,0.00001009925],"category_scores_gemma":[0.00002543497,0.0002679089,0.0001506149,0.0009041978,0.0001320804,0.0001984867,0.00009265279,0.0002041679,0.00002337624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003986489,"about_ca_system_score_gemma":0.00005463002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005715455,"about_ca_topic_score_gemma":0.0002204372,"domain_scores_codex":[0.9982311,0.0001082552,0.0003192417,0.000472116,0.0003233988,0.000545846],"domain_scores_gemma":[0.9991611,0.00003249189,0.0001399791,0.000488215,0.00006918472,0.0001090674],"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":[0.00003299909,0.00002720809,0.000005176636,0.000006938438,0.00006933965,0.00003095832,0.0001398535,0.00241846,0.9794402,0.005019248,0.00713852,0.00567109],"study_design_scores_gemma":[0.0001967909,0.00003080923,0.000137106,0.00002997631,0.00005340614,0.00007209431,0.0002020609,0.0007496891,0.9777226,0.001089703,0.01936773,0.0003480384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936534,0.00006661237,0.0004786357,0.00184086,0.0006946379,0.00008015503,0.00001108622,0.0009311445,0.002243472],"genre_scores_gemma":[0.9982842,0.0001483115,0.00008961633,0.0004139024,0.0006155519,0.00006861402,0.0001551378,0.0000659733,0.0001587039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01222921,"threshold_uncertainty_score":0.9999773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088960608061494,"score_gpt":0.2465901442078979,"score_spread":0.2257005381272829,"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."}}