{"id":"W4401958714","doi":"10.1038/s44160-024-00621-6","title":"Upgrading carbon monoxide to bioplastics via integrated electrochemical reduction and biosynthesis","year":2024,"lang":"en","type":"article","venue":"Nature Synthesis","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Advanced Research Projects Agency - Energy; Ministry of Trade, Industry and Energy; Korea Institute of Energy Technology Evaluation and Planning; Research Corporation for Science Advancement; U.S. Department of Energy","keywords":"Bioplastic; Electrolyte; Bioreactor; Chemical engineering; Electrochemistry; Sodium acetate; Chemistry; Materials science; Electrode; Chromatography; Organic chemistry; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001658531,0.0002521919,0.0002504246,0.0004496713,0.00007389183,0.0001027956,0.000137652,0.0004983766,0.00007664749],"category_scores_gemma":[0.0004270257,0.0002210798,0.000105355,0.0008494588,0.00004779726,0.0000821522,0.0000461806,0.0005665573,0.00002189628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206996,"about_ca_system_score_gemma":0.00003758177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002700445,"about_ca_topic_score_gemma":0.00002491846,"domain_scores_codex":[0.9986751,0.00004613714,0.0002363926,0.0005357723,0.0002045252,0.0003020895],"domain_scores_gemma":[0.9992955,0.0001988426,0.0000333099,0.0002569166,0.00006582305,0.000149594],"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":[0.00004244866,0.00001851811,0.000006336333,0.00004334557,0.00007861682,0.000008198588,0.00008658709,0.000002386017,0.8348268,0.002478939,0.001104406,0.1613034],"study_design_scores_gemma":[0.00002234571,0.00003102124,0.0000307368,0.0001811375,0.0001150847,0.0001713142,0.00008259359,0.001151932,0.9637016,0.001368546,0.03287819,0.0002655141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752361,0.005294791,0.005338847,0.004123669,0.001473652,0.0003904683,0.0000233528,0.002252449,0.005866645],"genre_scores_gemma":[0.9960052,0.0001766091,0.002873626,0.00004513798,0.000383961,0.00006980314,0.00000948356,0.00005892096,0.0003772263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610379,"threshold_uncertainty_score":0.9015371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004295322582705332,"score_gpt":0.2294990118866925,"score_spread":0.2252036893039872,"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."}}