{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001075676,0.000374697,0.0003562632,0.0002841127,0.0000354078,0.00004169211,0.0002306531,0.0001684788,7.466739e-7],"category_scores_gemma":[0.0001473715,0.0003469777,0.00007593117,0.000432385,0.000102787,0.0000774551,0.00004999121,0.0003288456,4.683476e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156288,"about_ca_system_score_gemma":0.00004225173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157097,"about_ca_topic_score_gemma":0.0004377256,"domain_scores_codex":[0.9986004,0.00002242781,0.0002442692,0.0004792528,0.0001520358,0.0005016405],"domain_scores_gemma":[0.999144,0.0001327689,0.00006394079,0.0005453364,0.00006245564,0.00005146929],"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":[0.0001469195,0.00002401593,0.0004317589,0.0001955818,0.0006062964,0.002251714,0.0007612446,0.03411536,0.9436585,0.002544022,0.01402136,0.001243183],"study_design_scores_gemma":[0.0009789341,0.00006070322,0.00004152285,0.0001369531,0.0001823988,0.0005491573,0.001035085,0.004613036,0.9696617,0.0002783629,0.02167819,0.0007839341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843075,0.001089821,0.0005957686,0.002653722,0.0003116317,0.0003637467,0.000009723108,0.00147912,0.009188925],"genre_scores_gemma":[0.9968128,0.00001934511,0.001154854,0.001171707,0.0001227841,0.0004130609,0.00001989202,0.00008736199,0.0001982367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02950232,"threshold_uncertainty_score":0.9998982,"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."}}