{"id":"W3033105479","doi":"10.1021/acscatal.0c00934","title":"The Solvent-Exposed Fe–S D-Cluster Contributes to Oxygen-Resistance in <i>Desulfovibrio vulgaris</i> Ni–Fe Carbon Monoxide Dehydrogenase","year":2020,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of General Medical Sciences; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; Aix-Marseille Université","keywords":"Carbon monoxide dehydrogenase; Chemistry; Desulfovibrio vulgaris; Electron transfer; Cluster (spacecraft); Ferredoxin; Redox; Stereochemistry; Crystallography; Carbon monoxide; Enzyme; Catalysis; Photochemistry; Biochemistry; Inorganic chemistry; Bacteria; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005533126,0.0004438513,0.0006800542,0.000127439,0.000273762,0.0002224862,0.0008875819,0.0001818797,0.00004451046],"category_scores_gemma":[0.0005227308,0.0003554033,0.0002787465,0.001248308,0.0000916046,0.0001733222,0.0003561985,0.0003339476,0.0002586001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782156,"about_ca_system_score_gemma":0.00008648841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846475,"about_ca_topic_score_gemma":0.02538444,"domain_scores_codex":[0.9967548,0.0002261146,0.0008793357,0.0008197966,0.0004754456,0.0008445166],"domain_scores_gemma":[0.9979953,0.0002297154,0.0002290376,0.001074976,0.0001136091,0.0003574267],"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":[0.001470772,0.0003416654,0.00150738,0.0001379989,0.001261997,0.0002163167,0.0039112,0.005915597,0.9346358,0.01063758,0.03550554,0.004458146],"study_design_scores_gemma":[0.002681595,0.0001293713,0.001287387,0.00006610401,0.0003219779,0.00000233303,0.0006861073,0.002902257,0.703476,0.001007863,0.2865098,0.0009291854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97407,0.005738799,0.0004444188,0.01390034,0.0002058659,0.0007997907,0.00004447929,0.0001472494,0.004649094],"genre_scores_gemma":[0.9925521,0.0001683423,0.0003002037,0.004147606,0.0001926107,0.0002564021,0.0001346746,0.0000793518,0.002168708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2510043,"threshold_uncertainty_score":0.9998898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451169684736049,"score_gpt":0.2151727224936985,"score_spread":0.200661025646338,"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."}}