{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730159,0.0003777013,0.0004743921,0.000187629,0.0002182951,0.0003521728,0.0007584044,0.0009086741,0.0004510816],"category_scores_gemma":[0.0002873722,0.0002481622,0.0002455808,0.0002246022,0.0004279179,0.0005022491,0.0005217392,0.0009581338,0.0003463337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005056888,"about_ca_system_score_gemma":0.0003800482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004890262,"about_ca_topic_score_gemma":0.0008104997,"domain_scores_codex":[0.9997526,0.00002835183,0.00001410094,0.00007659668,0.0001016677,0.00002678937],"domain_scores_gemma":[0.9998735,0.00001679844,0.00003929881,0.0000134216,0.00002594843,0.0000308948],"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":[0.000008404283,0.000003498852,0.00003788665,0.00001626277,0.000001266669,0.00001288054,0.000004891662,0.00005000237,0.9990682,0.0001149547,0.00003216297,0.000649499],"study_design_scores_gemma":[0.000006791599,0.00006212754,0.0005258936,0.000003418035,0.000006821771,0.0002801062,0.000009896752,0.001825577,0.9942793,0.00007359277,0.002915637,0.0000108873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708854,0.003428067,0.2163777,0.001675508,0.0004319559,0.0001891123,0.001306236,0.001536426,0.004169622],"genre_scores_gemma":[0.8047856,0.002142147,0.1861857,0.0003726225,0.0000335204,0.0001341754,0.001027058,0.0001917753,0.005127391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009086741,"threshold_uncertainty_score":0.003669024,"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."}}