{"id":"W2274056949","doi":"10.1021/acs.biochem.5b01328","title":"[NiFe]-Hydrogenase Maturation","year":2016,"lang":"en","type":"article","venue":"Biochemistry","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Hydrogenase; Protein subunit; Active site; Chemistry; Archaea; Enzyme; Metalloprotein; Cyanide; Biochemistry; Carbon monoxide; Catalysis; Crystallography; Stereochemistry; Inorganic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990215,0.0005055525,0.0005291979,0.0002812816,0.0002824671,0.0008136267,0.0004717465,0.0007661092,0.001118489],"category_scores_gemma":[0.0003689435,0.0001816677,0.0002997298,0.0003394359,0.0002759573,0.0009536916,0.0006516718,0.0009977017,0.001356472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009340388,"about_ca_system_score_gemma":0.0005531536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008291155,"about_ca_topic_score_gemma":0.0008371407,"domain_scores_codex":[0.9997503,0.00002635607,0.00001772926,0.00006760578,0.00008508292,0.00005282047],"domain_scores_gemma":[0.9999133,0.00001023683,0.00001227757,0.000007036096,0.00003720523,0.00001996244],"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":[0.0001679137,0.00005544727,0.001433796,0.002322972,0.00005364154,0.001224298,0.0002450128,0.0005133725,0.8576867,0.01385006,0.006419681,0.1160272],"study_design_scores_gemma":[0.00001526184,0.0001828671,0.006020014,0.000197664,0.00003642982,0.002158335,0.0002238624,0.001160617,0.5610516,0.004000878,0.4249169,0.00003558969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2958114,0.5118554,0.1068667,0.006608706,0.003640451,0.0003809498,0.001962462,0.001769041,0.07110489],"genre_scores_gemma":[0.7153688,0.212555,0.03139998,0.001086925,0.0007609499,0.0001200836,0.003413024,0.0002268019,0.03506837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001118489,"threshold_uncertainty_score":0.006776929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008412518909566097,"score_gpt":0.2058972304223158,"score_spread":0.1974847115127497,"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."}}