{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322287,0.0001013317,0.00009633018,0.0001705748,0.0004738811,0.00009611795,0.0009905869,0.00007870675,0.000007952563],"category_scores_gemma":[0.001948557,0.00009772182,0.00004665868,0.0005359827,0.000272452,0.00008864274,0.0004055459,0.0004574632,0.00003993792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249082,"about_ca_system_score_gemma":0.00006244512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001453269,"about_ca_topic_score_gemma":0.0001902145,"domain_scores_codex":[0.9989747,0.0001191628,0.0001409298,0.0002695596,0.0001950175,0.0003006373],"domain_scores_gemma":[0.9974779,0.001421716,0.00004265737,0.0008859119,0.000091236,0.00008061737],"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":[0.00001755078,0.00002810147,0.001617761,0.00001003989,0.000002529569,0.000001469159,0.0002280137,0.000006745857,0.9902036,0.003057949,0.002067875,0.002758335],"study_design_scores_gemma":[0.00069088,0.00004091753,0.02178566,0.0000288078,0.00001038885,0.000009569968,0.00007851299,0.06532694,0.8547042,0.00133813,0.05570592,0.0002800738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479117,0.002061399,0.0002015855,0.03613792,0.0007751618,0.002902099,0.0007168737,0.001056266,0.008237029],"genre_scores_gemma":[0.9891152,0.002412151,0.00769828,0.0003675129,0.00003190858,0.00007417812,0.00003588609,0.00002261937,0.0002422532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354994,"threshold_uncertainty_score":0.398498,"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."}}