{"id":"W2327365912","doi":"10.1021/nn502858b","title":"Stimuli-Responsive Photoacoustic Nanoswitch for <i>in Vivo</i> Sensing Applications","year":2014,"lang":"en","type":"article","venue":"ACS Nano","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute; Ontario Institute for Cancer Research; Ontario Ministry of Health and Long-Term Care; Canada Foundation for Innovation; Prostate Cancer Canada","keywords":"Absorbance; Photoacoustic imaging in biomedicine; Materials science; Absorption (acoustics); Photoacoustic effect; In vivo; Molar absorptivity; Photoacoustic spectroscopy; Optoelectronics; Optics; Nanotechnology; Chemistry; Chromatography","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":[0.0001370157,0.0002606811,0.0001882278,0.000133294,0.0001774762,0.0002626777,0.000304792,0.0004646591,0.001388512],"category_scores_gemma":[0.0002064744,0.0001446023,0.0001779811,0.0001370128,0.0002683795,0.0004449282,0.0001813896,0.0005297847,0.0004987429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721287,"about_ca_system_score_gemma":0.0001214892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001747428,"about_ca_topic_score_gemma":0.0003848369,"domain_scores_codex":[0.9999131,0.000008818391,0.000005380287,0.00002841144,0.00002568248,0.00001872531],"domain_scores_gemma":[0.9999031,0.00002409164,0.00003125489,0.00001030421,0.00001272858,0.00001849098],"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":[0.000006707384,0.000008727663,0.00001638981,0.0000157495,9.234646e-7,0.00001717718,0.000005538664,0.00006589484,0.9987807,0.0001378182,0.00004332359,0.0009010576],"study_design_scores_gemma":[0.000002376739,0.00004772883,0.0002019004,0.000001182807,0.000002475217,0.00005150701,0.000004022803,0.000703568,0.9974238,0.00006133187,0.001496706,0.000003375637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899972,0.003051805,0.08507509,0.0005693006,0.0003888169,0.0002210069,0.0005001929,0.001420303,0.008801546],"genre_scores_gemma":[0.9752052,0.0008122342,0.01890015,0.0002588758,0.0000443633,0.00009531551,0.0001555702,0.00009478577,0.004433501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001388512,"threshold_uncertainty_score":0.00464505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484134701413515,"score_gpt":0.2253396201381353,"score_spread":0.2178554854367218,"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."}}