{"id":"W6921885611","doi":"10.1021/bi201590d.s001","title":"&lt;i&gt;Escherichia coli&lt;/i&gt; SlyD, More Than\\na Ni(II) Reservoir","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nickel; In vitro; DNA; Production (economics); Hydrolysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001040184,0.0004183667,0.0002660643,0.000162606,0.0001971153,0.0004645955,0.0003677422,0.000311001,0.004727577],"category_scores_gemma":[0.0001786199,0.0001871059,0.0001918104,0.0001773845,0.0002855838,0.0003559366,0.0003005972,0.0005177736,0.002040316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005132997,"about_ca_system_score_gemma":0.0002699541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854452,"about_ca_topic_score_gemma":0.002617209,"domain_scores_codex":[0.9998813,0.00001592991,0.000008849459,0.00002602725,0.00003820999,0.00002968802],"domain_scores_gemma":[0.9999173,0.0000126032,0.00001712341,0.00002115054,0.00001224977,0.00001954721],"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":[0.00008245768,0.00002234362,0.0004349669,0.00004619034,0.00000439535,0.00008354638,0.00002043547,0.00004541194,0.9962131,0.0003930581,0.0004415589,0.002212649],"study_design_scores_gemma":[0.000007860077,0.00006174905,0.002781011,0.00000609683,0.000005602471,0.0001703962,0.00003953398,0.0006568356,0.9857098,0.0001486886,0.01040643,0.000005942475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565187,0.001285922,0.02037324,0.001345535,0.0002613641,0.00008552404,0.003527162,0.001112186,0.01549026],"genre_scores_gemma":[0.9468603,0.0004956136,0.01221212,0.0002346267,0.00003035944,0.00005952985,0.005531732,0.0002943623,0.03428131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004727577,"threshold_uncertainty_score":0.01581532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045682377137744,"score_gpt":0.2421937065198036,"score_spread":0.2117368827484262,"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."}}