{"id":"W4225471014","doi":"10.1038/s41467-021-27332-2","title":"A genetically encoded fluorescent biosensor for extracellular l-lactate","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre Hospitalier de l’Université de Montréal; University of Alberta; University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; Toyota Physical and Chemical Research Institute; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; University of Alberta; Natural Sciences and Engineering Research Council of Canada; University of Tokyo; National Cancer Institute; Government of Canada; Canadian Institutes of Health Research; Precise Measurement Technology Promotion Foundation","keywords":"Extracellular; Biosensor; Intracellular; Fluorescence; Cell biology; Biochemistry; Green fluorescent protein; Chemistry; Biology; Biophysics; 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":[0.0002761129,0.0005291031,0.0002783577,0.0002438554,0.0001669128,0.0003793412,0.0009408057,0.001142772,0.000596869],"category_scores_gemma":[0.0005378895,0.0001872647,0.0002158132,0.0002117069,0.0003877015,0.0004194397,0.000388894,0.0009827118,0.0003381149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076495,"about_ca_system_score_gemma":0.0002920397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007594881,"about_ca_topic_score_gemma":0.0007954445,"domain_scores_codex":[0.9996661,0.0000412536,0.00001407778,0.00009939242,0.0001142273,0.00006497095],"domain_scores_gemma":[0.9997965,0.00005325995,0.00005757269,0.00001383245,0.000040211,0.00003879125],"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":[0.00002004817,0.000007929588,0.00003456315,0.00002119962,0.000001252401,0.0000201137,0.000009347758,0.00007739767,0.9984809,0.0001551556,0.00005792723,0.001114221],"study_design_scores_gemma":[0.000006407782,0.00005070044,0.0003165184,0.000003859502,0.00000439736,0.0001158476,0.000009734094,0.001275778,0.9964672,0.00004538876,0.001696456,0.000007602336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159479,0.00332573,0.1708413,0.001602511,0.000309841,0.0001264158,0.0009730647,0.00116039,0.005712854],"genre_scores_gemma":[0.8798093,0.00140648,0.1108725,0.0005014199,0.00004654166,0.0001539427,0.0008798784,0.00009616241,0.006233622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001142772,"threshold_uncertainty_score":0.005134404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590383621766286,"score_gpt":0.3924886432061542,"score_spread":0.3065848069884914,"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."}}