{"id":"W4387996386","doi":"10.1038/s41467-023-42230-5","title":"Lactate biosensors for spectrally and spatially multiplexed fluorescence imaging","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Occupational Cancer Research Centre; University of Calgary; University of Toronto","funders":"Precursory Research for Embryonic Science and Technology; Medical Center, University of Rochester; Japan Science and Technology Agency; National Institutes of Health; H. Lundbeck A/S; Toyota Physical and Chemical Research Institute; Japan Society for the Promotion of Science; Novo Nordisk Fonden; University of Rochester; Suntory Foundation; National Institute of Neurological Disorders and Stroke; Novo Nordisk; Precise Measurement Technology Promotion Foundation; University of Tsukuba; Lundbeckfonden; Ministry of Education, Culture, Sports, Science and Technology; Suntory Foundation for Life Sciences; Montana State University","keywords":"Fluorescence; Multiplexing; Biosensor; Fluorescence-lifetime imaging microscopy; Nanotechnology; Optics; Materials science; Computer science; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007741374,0.0007806813,0.0004927511,0.0004347055,0.0001955264,0.0005949019,0.001050966,0.001067593,0.001093077],"category_scores_gemma":[0.0007509728,0.0003997015,0.0004403109,0.000314209,0.0004064547,0.0007687371,0.0007561993,0.001270667,0.0006594971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006752866,"about_ca_system_score_gemma":0.0002391349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004161604,"about_ca_topic_score_gemma":0.0007286109,"domain_scores_codex":[0.9992406,0.0001616436,0.00003763145,0.0002136691,0.0002584985,0.00008794323],"domain_scores_gemma":[0.9996475,0.0001077996,0.0001016489,0.00003217407,0.00006445904,0.00004645742],"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":[0.00004550862,0.00001095701,0.00005024233,0.00003970139,0.000004055667,0.00002767816,0.00001532469,0.0001071859,0.9964591,0.0003073436,0.000120871,0.002811986],"study_design_scores_gemma":[0.000007933058,0.00006083116,0.0001771942,0.000005789034,0.000006055376,0.0001516111,0.00001092866,0.003160476,0.9940957,0.0001295699,0.002180776,0.00001316289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3210715,0.007069159,0.6613669,0.001259042,0.0004432765,0.000338964,0.0008626718,0.002380387,0.005207967],"genre_scores_gemma":[0.5792109,0.004261203,0.4084535,0.0006479107,0.0001121299,0.0005885683,0.0006255966,0.0001651668,0.00593487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001093077,"threshold_uncertainty_score":0.004899621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262465209762307,"score_gpt":0.3736126050742697,"score_spread":0.3109879529766466,"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."}}