{"id":"W4206536819","doi":"10.1021/acssensors.1c01940","title":"Chemically Tuned, Reversible Fluorogenic Electrophile for Live Cell Nanoscopy","year":2022,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerstwo Edukacji i Nauki; Canada Foundation for Innovation","keywords":"Moiety; Electrophile; Fluorophore; BODIPY; Live cell imaging; Nucleophile; Fluorescence; Chemistry; Biological imaging; Fluorescence-lifetime imaging microscopy; Super-resolution microscopy; Fluorescence microscope; Nile red; Nanotechnology; Combinatorial chemistry; Materials science; Stereochemistry; Organic chemistry; Cell; Biochemistry; Optics; Physics","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":[0.0002192781,0.0003416215,0.0002066968,0.0001592599,0.0001354517,0.000225773,0.0003326591,0.0004434407,0.0006600293],"category_scores_gemma":[0.0002255129,0.0001315907,0.0001412196,0.0001386394,0.0002921319,0.0002910965,0.0003089298,0.0005501825,0.0003177977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848605,"about_ca_system_score_gemma":0.0001671629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001964735,"about_ca_topic_score_gemma":0.0003815179,"domain_scores_codex":[0.9998604,0.00002590087,0.000007771084,0.00004049892,0.00004085846,0.00002449452],"domain_scores_gemma":[0.99985,0.00003629223,0.00004528615,0.00002679811,0.00002145573,0.00002014],"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":[0.000012732,0.00000657252,0.00004508716,0.00004054094,0.000001890953,0.0000294606,0.00001049277,0.0002117876,0.9976407,0.0003797384,0.00004535545,0.001575642],"study_design_scores_gemma":[0.000002788761,0.00005559217,0.0001948004,0.000002036728,0.000003015617,0.0000877788,0.000004773245,0.001256286,0.9960312,0.00005081105,0.002306405,0.000004630876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883639,0.005275629,0.2011796,0.0003613768,0.0001285888,0.0001423346,0.0004159612,0.0005659838,0.003566593],"genre_scores_gemma":[0.9242504,0.00228962,0.07030219,0.0001612956,0.00003857102,0.0001740509,0.0002969207,0.00006339902,0.002423472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006600293,"threshold_uncertainty_score":0.002208054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005688914980696774,"score_gpt":0.24161928718961,"score_spread":0.2359303722089132,"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."}}