{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000472432,0.000654974,0.00029348,0.00027831,0.0001590944,0.0002760129,0.0004344042,0.0005244223,0.0007490338],"category_scores_gemma":[0.0002583855,0.0002759515,0.0003418996,0.0001406068,0.0003481041,0.0004033291,0.0003269871,0.0005600474,0.0004625793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072925,"about_ca_system_score_gemma":0.0002263983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003949152,"about_ca_topic_score_gemma":0.0005194551,"domain_scores_codex":[0.9997508,0.00004800961,0.00001621056,0.00006597584,0.00006877341,0.00005021278],"domain_scores_gemma":[0.9998888,0.00002670335,0.00003614897,0.00001230503,0.00002047753,0.0000155933],"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":[0.000014534,0.00001343242,0.00002508397,0.00002960353,0.000002318703,0.00001953569,0.00001260619,0.0001447845,0.9976264,0.0002035507,0.00002942696,0.001878888],"study_design_scores_gemma":[0.000005760015,0.0000532706,0.0001228567,0.000001887085,0.000005332546,0.00006330011,0.000004230348,0.001921337,0.9965898,0.00003475586,0.001192187,0.000005335211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.712405,0.005809081,0.2748044,0.0004171563,0.00009531931,0.0002716199,0.0001744982,0.001134947,0.004887901],"genre_scores_gemma":[0.911094,0.001832453,0.08191765,0.0002444129,0.00004405509,0.0002925061,0.0001747375,0.00008768975,0.004312367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007490338,"threshold_uncertainty_score":0.002955139,"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."}}