{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003116725,0.0004048034,0.0002344336,0.0001576167,0.0001613152,0.0003686863,0.0004103833,0.0004218561,0.0005570477],"category_scores_gemma":[0.0006850035,0.0002187537,0.0001022518,0.0001455199,0.0003320017,0.0002713558,0.0002159774,0.0003492445,0.0002179522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581924,"about_ca_system_score_gemma":0.0001735961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035554,"about_ca_topic_score_gemma":0.002552443,"domain_scores_codex":[0.9995821,0.00006555768,0.00003386232,0.00008420133,0.000176395,0.00005787818],"domain_scores_gemma":[0.9996282,0.0001019003,0.00008503383,0.00003858999,0.0001234731,0.0000227416],"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":[0.00004100716,0.000006669885,0.00007960445,0.00003448436,0.000002539849,0.00001588099,0.000008965892,0.0001068121,0.9984628,0.00005754329,0.00003426498,0.001149441],"study_design_scores_gemma":[0.000001854461,0.00003093826,0.0001426884,0.000001006604,0.000001683971,0.00001418471,0.000003186711,0.0004937014,0.998993,0.000009031255,0.000307288,0.000001396355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818762,0.0008730991,0.01290252,0.0001528608,0.00005527663,0.00006254185,0.00009772294,0.000277031,0.003702855],"genre_scores_gemma":[0.9860203,0.00040867,0.01144867,0.0001026824,0.000007307349,0.00002543918,0.0001336874,0.00005441105,0.001798837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035554,"threshold_uncertainty_score":0.002598882,"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."}}