{"id":"W4409873700","doi":"10.1021/acsenergylett.4c03584","title":"Go with CO: A Case for Targeting Carbon Monoxide As a Reactive Carbon Capture Product","year":2025,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":7,"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":"Carbon monoxide; Product (mathematics); Carbon fibers; Chemistry; Materials science; Organic chemistry; Catalysis; Mathematics","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":[0.00009598802,0.0003500111,0.000331248,0.0002464395,0.0005436906,0.0008008811,0.0004849392,0.001847748,0.002070029],"category_scores_gemma":[0.0002741137,0.0001678455,0.0003941671,0.000176824,0.0008046619,0.001079633,0.0004838592,0.0004925177,0.0003561757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004206546,"about_ca_system_score_gemma":0.0002019715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001726209,"about_ca_topic_score_gemma":0.002576869,"domain_scores_codex":[0.9999337,0.000009659185,0.000001254281,0.00001297982,0.00001965386,0.0000226875],"domain_scores_gemma":[0.9999468,0.00002291514,0.000005366826,0.000006971462,0.000007176972,0.00001081375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002736187,0.000366304,0.002680683,0.0005794906,0.0000869768,0.008078792,0.0004168648,0.1498508,0.3722286,0.4421757,0.002835763,0.02042659],"study_design_scores_gemma":[0.0001133421,0.0008832864,0.002554998,0.0001511946,0.0001405525,0.002656444,0.000786053,0.574463,0.2333259,0.128739,0.05607701,0.0001090695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7969894,0.003940868,0.1002953,0.004125316,0.0003211738,0.0001612283,0.0001632511,0.0004189903,0.09358449],"genre_scores_gemma":[0.9852486,0.0006609875,0.006242034,0.0001972632,0.00001575804,0.00005378273,0.00002828265,0.00002831142,0.007524995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002070029,"threshold_uncertainty_score":0.006924987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004093019725869108,"score_gpt":0.1989002629035593,"score_spread":0.1948072431776902,"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."}}