{"id":"W2766190792","doi":"10.2174/2211550104666150414185950","title":"Purification and Molecular Characterization of an [FeFe]-Hydrogenase from <i>Thermotoga hypogea</i>","year":2015,"lang":"en","type":"article","venue":"Current Biotechnology","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydrogenase; Ferredoxin; Enzyme; Chemistry; Protein subunit; Thermotoga maritima; Sulfur; Stereochemistry; Biochemistry; Gene; Escherichia coli; Organic chemistry","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":[0.0001981473,0.0002515443,0.0003547519,0.0002466861,0.00005313885,0.00002486622,0.0003547044,0.0004844808,0.00009174159],"category_scores_gemma":[0.0001060646,0.0002463445,0.00006592058,0.0003015123,0.0002305751,0.0001800972,0.0001374469,0.0001984983,0.00006515574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004574249,"about_ca_system_score_gemma":0.00005005844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000545338,"about_ca_topic_score_gemma":0.00004249395,"domain_scores_codex":[0.9983582,0.0001325871,0.0004432408,0.000541685,0.0002269851,0.0002973197],"domain_scores_gemma":[0.9986132,0.00001216611,0.0003042496,0.0008022874,0.0001044857,0.0001636475],"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":[0.00002950321,0.0001687852,0.00002073393,0.00001703549,0.00002813818,0.000004200108,0.00008453715,0.000007551117,0.8335801,0.05305111,0.00002507412,0.1129833],"study_design_scores_gemma":[0.0007758287,0.0002210939,0.0007725168,0.00002724552,0.00004909608,0.000007788138,0.00001487556,0.002226762,0.8272499,0.004189412,0.1642088,0.0002566925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904147,0.003394226,0.004245742,0.0006382338,0.000370411,0.0003843259,0.00009016208,0.0002255531,0.0002366912],"genre_scores_gemma":[0.9973689,0.0006233878,0.001013747,0.00004043444,0.00009967966,0.00005865791,0.0007074695,0.0000430347,0.00004464587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641837,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193273411338669,"score_gpt":0.2375136301067447,"score_spread":0.215580895993358,"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."}}