{"id":"W3042082711","doi":"10.1021/acscentsci.0c00518","title":"High-Performance Intensiometric Direct- and Inverse-Response Genetically Encoded Biosensors for Citrate","year":2020,"lang":"en","type":"article","venue":"ACS Central Science","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biosensor; Histidine; Mutagenesis; Chemistry; Biochemistry; Computational biology; Biology; Biophysics; Enzyme; Mutation; Gene","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":[0.0002983251,0.0004024681,0.0002275435,0.0001891569,0.0001529295,0.0005162494,0.0006176879,0.0007588476,0.001544651],"category_scores_gemma":[0.0004073354,0.0002043592,0.0001427252,0.0001798864,0.000355102,0.0003508896,0.000361193,0.000727628,0.0006163451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007412922,"about_ca_system_score_gemma":0.0002043032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000409627,"about_ca_topic_score_gemma":0.001203763,"domain_scores_codex":[0.9997515,0.00003454728,0.0000110045,0.00007740228,0.00008961756,0.00003591266],"domain_scores_gemma":[0.9997994,0.00004210859,0.00006404075,0.00001724955,0.000033445,0.00004368816],"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":[0.00002527409,0.000005148167,0.00004193699,0.00001162167,5.947854e-7,0.000007626812,0.000005661288,0.00002104299,0.9988835,0.0001113936,0.000047452,0.0008387422],"study_design_scores_gemma":[0.000004984844,0.00002562347,0.0003328903,0.000001427329,0.000001628604,0.00007115352,0.000006869335,0.0005307031,0.9977213,0.0000277166,0.001271998,0.000003764491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919537,0.001831076,0.06869207,0.0008418829,0.000159298,0.0001380304,0.0009188851,0.0009331017,0.006948596],"genre_scores_gemma":[0.892221,0.0007240879,0.0945336,0.0002414279,0.00001841665,0.0001322766,0.000991347,0.0001004125,0.01103746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001544651,"threshold_uncertainty_score":0.005378425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178494188628621,"score_gpt":0.2442779250335408,"score_spread":0.2264285061706787,"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."}}