{"id":"W4294843956","doi":"10.1371/journal.pbio.3001772","title":"A sensitive and specific genetically-encoded potassium ion biosensor for in vivo applications across the tree of life","year":2022,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Office of Science; National Institutes of Health; Novo Nordisk Fonden; Alberta Innovates; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Novo Nordisk; National Natural Science Foundation of China; Parkinson Society Canada; Alberta Innovates - Technology Futures; Univerzita Karlova v Praze; Argonne National Laboratory; U.S. Department of Energy; Howard Hughes Medical Institute; H. Lundbeck A/S; University of Alberta; University of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Canadian Light Source; Lundbeckfonden; Canadian Institutes of Health Research; National Science Foundation","keywords":"Biology; Tree of life (biology); In vivo; Computational biology; Potassium; Biosensor; Genetics; Evolutionary biology; Biochemistry; Gene; Phylogenetics","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":[0.0001622511,0.00007229491,0.0001068528,0.00003107027,0.0001325912,0.000004205729,0.0000709082,0.00007729715,0.00001516478],"category_scores_gemma":[0.00004361103,0.00005797288,0.00004054635,0.00008999628,0.0001373055,9.997666e-7,0.00009585245,0.0000581382,7.396684e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103773,"about_ca_system_score_gemma":0.00002471985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005047056,"about_ca_topic_score_gemma":0.00002149675,"domain_scores_codex":[0.9993144,0.0001035148,0.0001691612,0.0002331899,0.00004138666,0.000138391],"domain_scores_gemma":[0.999636,0.00005016032,0.00007151082,0.0001516929,0.00006169191,0.00002896505],"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":[0.000236396,0.00007567678,0.0006996454,0.00000700906,0.00002133761,1.086129e-7,0.0001254759,0.00008526319,0.9961482,0.000899092,0.0003930253,0.001308788],"study_design_scores_gemma":[0.001694851,0.0008479015,0.005908008,0.000002819297,0.00001660219,0.00001575724,0.001755388,0.002650402,0.8577124,0.0006317401,0.1285475,0.000216568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990617,0.0002625601,0.006901262,0.00102155,0.0001357104,0.000596609,0.0002625369,0.000006537338,0.000196198],"genre_scores_gemma":[0.9985632,0.00008236143,0.0002870941,0.0002698234,0.0002112088,0.0002806653,0.0001531894,0.000008513743,0.0001438988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384357,"threshold_uncertainty_score":0.2364066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998726076145497,"score_gpt":0.2573745027423347,"score_spread":0.2373872419808797,"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."}}