{"id":"W4282929559","doi":"10.1073/pnas.2118638119","title":"Engineering nonphotosynthetic carbon fixation for production of bioplastics by methanogenic archaea","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shell Exploration and Production Company; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Office of Extramural Research, National Institutes of Health; Shell","keywords":"Archaea; Metabolic engineering; Methanogen; Carbon fixation; Bioplastic; Commodity chemicals; Methanococcus; Formate dehydrogenase; Autotroph; Biochemistry; Cupriavidus necator; Polyhydroxyalkanoates; Polyhydroxybutyrate; Metabolic pathway; Biology; Photosynthesis; Cofactor; Bacteria; Metabolism; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313194,0.0004292167,0.0003388029,0.0002724521,0.0001967701,0.0006462643,0.0004177022,0.000320882,0.0003859161],"category_scores_gemma":[0.0002851675,0.0003206347,0.0004517242,0.0003685236,0.0002530461,0.0002886461,0.000660107,0.0005256705,0.0002591286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763825,"about_ca_system_score_gemma":0.0005880982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141524,"about_ca_topic_score_gemma":0.00175725,"domain_scores_codex":[0.9997571,0.00004130586,0.00003601222,0.00003758801,0.00006822042,0.00005983478],"domain_scores_gemma":[0.9998678,0.00002421111,0.0000363902,0.00002155546,0.00001998496,0.00003007856],"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":[0.00007086601,0.00005912235,0.0002407002,0.00004210172,0.000005525731,0.00004115119,0.00002072032,0.0002377582,0.9972813,0.0001114413,0.0000142816,0.001875096],"study_design_scores_gemma":[0.00002399815,0.0002490588,0.001763158,0.00001222458,0.00002694651,0.0001096518,0.00006747305,0.003284691,0.9924389,0.0001336138,0.00188111,0.000009029421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919149,0.0005043905,0.006007059,0.0001130374,0.00002628132,0.00005449496,0.000171019,0.00007593938,0.001132877],"genre_scores_gemma":[0.9837482,0.0006240534,0.01366923,0.00003590022,0.000007030445,0.00006025098,0.0003291947,0.00005049771,0.001475646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001141524,"threshold_uncertainty_score":0.002730906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375488704179056,"score_gpt":0.2438291206204925,"score_spread":0.2300742335787019,"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."}}