{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118121,0.0001860968,0.0001602206,0.00004253883,0.0002454753,0.00001199105,0.0003530816,0.0001075767,0.00008275244],"category_scores_gemma":[0.00005728065,0.0002147402,0.0001306597,0.0001231072,0.00006789726,0.000004555526,0.0002524629,0.000168678,0.00001401046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007530194,"about_ca_system_score_gemma":0.00009409877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007731222,"about_ca_topic_score_gemma":0.000001386397,"domain_scores_codex":[0.998726,0.00004438062,0.0001900689,0.0004839622,0.0001380305,0.0004176077],"domain_scores_gemma":[0.9993036,0.00001955793,0.00009872498,0.0004254158,0.00008246904,0.00007020905],"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":[0.0002656023,0.0000629078,0.0001042297,0.00001474081,0.00001789857,0.000003485233,0.00004366335,0.00005868615,0.9769284,0.00002402273,0.0223731,0.0001033256],"study_design_scores_gemma":[0.0003474795,0.0006632141,0.000005766728,0.000003051461,0.00001746377,0.00001954378,0.0001003303,0.00001702729,0.9201453,0.0002074546,0.07823631,0.000237043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950922,0.0009144482,0.0025363,0.0001556674,0.0001105714,0.0006100957,0.0001090421,0.00007935179,0.000392337],"genre_scores_gemma":[0.9362122,0.0003285562,0.05675201,0.0007838166,0.0001793,0.0003351709,0.0004613329,0.00009378308,0.004853768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05887993,"threshold_uncertainty_score":0.875685,"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."}}