{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134422,0.0001212005,0.0001365264,0.0001068502,0.000208608,0.00008049217,0.0003757204,0.00005132695,0.0001797878],"category_scores_gemma":[0.0004897762,0.0001075259,0.00002664507,0.001653636,0.0003752513,0.0001261613,0.0001102622,0.00009513934,0.000007523691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005871728,"about_ca_system_score_gemma":0.00008070794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710499,"about_ca_topic_score_gemma":8.553632e-7,"domain_scores_codex":[0.9986842,0.000007203816,0.0001733066,0.0004345525,0.0002315255,0.0004692062],"domain_scores_gemma":[0.9992141,0.000108391,0.00006046024,0.0002028412,0.00009301574,0.0003211639],"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":[0.00008310621,0.00001864472,0.001189684,0.00002495012,0.000003180932,0.000001111354,0.00006139345,0.00002274249,0.9940922,0.001391971,0.0002660153,0.002844955],"study_design_scores_gemma":[0.0002045938,0.00009572018,0.006961785,0.000008969138,0.00001011436,0.000003475344,0.00003071143,0.01253928,0.977237,0.0001704679,0.002571918,0.0001658934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961086,0.00002787467,0.0003673084,0.001724592,0.00002672395,0.0001441994,0.00002901036,0.000138514,0.001433187],"genre_scores_gemma":[0.9877626,0.0001412066,0.01140135,0.0004848814,0.00004968351,0.00002761277,0.000003150506,0.000009649301,0.000119889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685517,"threshold_uncertainty_score":0.4384778,"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."}}