{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006402984,0.0001145796,0.00009126348,0.00001313713,0.0000443404,0.00001910487,0.0001323171,0.0001120867,0.001770092],"category_scores_gemma":[0.00006458518,0.00007504652,0.00006863559,0.0000540263,0.00004138618,0.00006386751,0.00003750896,0.00004140212,0.0005775649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000409312,"about_ca_system_score_gemma":0.00002781656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003895682,"about_ca_topic_score_gemma":0.000004716607,"domain_scores_codex":[0.9992875,0.00001267302,0.0001519695,0.0002253968,0.0001342568,0.0001882378],"domain_scores_gemma":[0.9994538,0.00001544386,0.00005556551,0.0003556671,0.00002793263,0.00009153403],"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":[0.00001814415,0.00002083463,0.00002465872,0.00001630061,0.00001178354,0.000005707766,0.000006404926,9.395043e-7,0.9839259,0.002442834,0.004004337,0.009522196],"study_design_scores_gemma":[0.0002764365,0.00001102015,0.00007975939,0.00002328855,0.000006050318,0.00001053475,0.000007739836,0.00001777623,0.9314387,0.0005957376,0.06740114,0.0001317931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952335,0.0004031427,0.0002857074,0.001073334,0.0001501877,0.00006835433,0.00001560565,0.0001326169,0.04553606],"genre_scores_gemma":[0.9767478,0.00002881916,0.0003718112,0.0001154066,0.0004033578,0.00001752244,0.00001977048,0.00001738823,0.02227816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0633968,"threshold_uncertainty_score":0.9991424,"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."}}