{"id":"W3030874311","doi":"10.1002/adma.202001300","title":"Ammonia Thermal Treatment toward Topological Defects in Porous Carbon for Enhanced Carbon Dioxide Electroreduction","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Materials science; Carbon dioxide; Porosity; Thermal treatment; Ammonia; Carbon fibers; Thermal; Electrochemical reduction of carbon dioxide; Chemical engineering; Porous medium; Ammonia production; Inorganic chemistry; Nanotechnology; Organic chemistry; Composite material; Catalysis; Carbon monoxide; Thermodynamics; Chemistry; Composite number","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006317893,0.0001599964,0.0001031582,0.000111206,0.00009827383,0.0001343472,0.0001979279,0.0001611165,0.0006429835],"category_scores_gemma":[0.0001494258,0.00007611125,0.0001023908,0.00009722511,0.0001730682,0.0001600904,0.00013801,0.0001854565,0.00007714787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835513,"about_ca_system_score_gemma":0.0001188923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005407669,"about_ca_topic_score_gemma":0.001240246,"domain_scores_codex":[0.9999477,0.000005116653,0.000002502327,0.00000835169,0.00002331979,0.00001295994],"domain_scores_gemma":[0.9999608,0.00001125514,0.000009445139,0.000005109567,0.000007984308,0.000005502123],"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":[0.00005885368,0.00002696376,0.0001689693,0.0001174044,0.000008055425,0.00006741985,0.00001622832,0.001525759,0.9942871,0.0006696419,0.0001270907,0.002926453],"study_design_scores_gemma":[0.00001373156,0.0001237573,0.0008694268,0.000004067631,0.000005060603,0.00006368582,0.00001490074,0.009734398,0.9879013,0.0001222616,0.00114083,0.00000658419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923799,0.0004138997,0.005070997,0.00005371673,0.0000329832,0.00001583197,0.00007449988,0.0000828543,0.001875281],"genre_scores_gemma":[0.9983971,0.0000900031,0.001149847,0.00000791567,0.000002894332,0.000006663946,0.00003171642,0.000006753104,0.0003072048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006429835,"threshold_uncertainty_score":0.002151012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803495741192981,"score_gpt":0.265751151696219,"score_spread":0.2477161942842892,"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."}}