{"id":"W2949216521","doi":"10.1021/jacs.9b03649","title":"Activatable NIR Fluorescence/MRI Bimodal Probes for in Vivo Imaging by Enzyme-Mediated Fluorogenic Reaction and Self-Assembly","year":2019,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":376,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"CAS Key Laboratory of Receptor Research; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Chemistry; In vivo; Fluorescence; In situ; Fluorescence-lifetime imaging microscopy; Molecular imaging; Biophysics; Preclinical imaging; Magnetic resonance imaging; Alkaline phosphatase; Molecular probe; Enzyme; Small molecule; Fluorescence microscope; Biochemistry","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":[0.000198182,0.000160232,0.0003209249,0.00002587289,0.00003493769,0.00002872242,0.0002345582,0.00005464564,0.000003542959],"category_scores_gemma":[0.00003184211,0.0001190781,0.0002113682,0.0002962953,0.00006877571,0.0002235054,0.00004252143,0.0003673686,0.000001060751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004661674,"about_ca_system_score_gemma":0.00005777621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002879144,"about_ca_topic_score_gemma":7.334688e-7,"domain_scores_codex":[0.9990229,0.000009780233,0.0003202137,0.0001257462,0.0002209491,0.0003004029],"domain_scores_gemma":[0.9993077,0.00016118,0.0002505801,0.000142752,0.00005862605,0.00007915138],"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":[0.00004803489,0.00004100813,0.003720141,0.00004965248,0.0000928678,3.075446e-7,0.0002364385,0.0001298588,0.9895221,0.000001129311,0.005431192,0.0007272792],"study_design_scores_gemma":[0.0008772138,0.0000454139,0.0003333932,0.00006091209,0.00003890662,0.00002592335,0.0003047986,0.01972369,0.9752802,0.00007366155,0.003071347,0.0001645304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985309,0.0003575468,0.0003596111,0.0002473781,0.0001995049,0.0002224254,0.00001887762,0.00004293661,0.00002081986],"genre_scores_gemma":[0.9952816,0.0003854668,0.004022731,0.0001338759,0.000113145,0.000008197322,0.000001688995,0.00003991791,0.00001333144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959384,"threshold_uncertainty_score":0.4855864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003132894368981882,"score_gpt":0.2018727571911733,"score_spread":0.1987398628221914,"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."}}