{"id":"W4324125779","doi":"10.1039/d2nr06235f","title":"Plasmonic nanorod probes’ journey inside plant cells for <i>in vivo</i> SERS sensing and multimodal imaging","year":2023,"lang":"en","type":"article","venue":"Nanoscale","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Division of Electrical, Communications and Cyber Systems; National Defense Science and Engineering Graduate; U.S. Department of Energy; Office of Science; Canadian Light Source; National Science Foundation","keywords":"Nanorod; Nanotechnology; Materials science; Plasmon; Microscopy; Plant cell; Biomolecule; In vivo; Nanoparticle; Molecular imaging; Fluorescence-lifetime imaging microscopy; Fluorescence; Biophysics; Chemistry; Optoelectronics; Optics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208895,0.0003186262,0.000236479,0.0000929868,0.0002112111,0.0004182531,0.0002072697,0.0003471816,0.000630707],"category_scores_gemma":[0.0001349967,0.000252048,0.0002197182,0.0001030568,0.0001861778,0.0003995781,0.0001864816,0.0004803307,0.0004598509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714016,"about_ca_system_score_gemma":0.0001908335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127796,"about_ca_topic_score_gemma":0.001275297,"domain_scores_codex":[0.9999331,0.000006968082,0.00000313695,0.00002767149,0.00001489472,0.00001428016],"domain_scores_gemma":[0.9999287,0.00001810625,0.00001493589,0.00001306117,0.00001521127,0.000009919137],"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":[0.00001100766,0.000002868582,0.00003561909,0.00001138374,8.460005e-7,0.000009371148,0.00001771216,0.00003761713,0.9992367,0.00006553366,0.00001605789,0.0005553382],"study_design_scores_gemma":[0.000002591394,0.00005333816,0.0005218245,0.000002345009,0.000002816126,0.00005282062,0.00002317376,0.0008413776,0.9969426,0.00005213489,0.001501007,0.000003935271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458774,0.001724778,0.04715144,0.0002345037,0.00005983566,0.00005867027,0.0003421837,0.0004115845,0.004139552],"genre_scores_gemma":[0.9467613,0.0010231,0.0459678,0.0001215576,0.00001090615,0.00007277993,0.0004702547,0.0001301288,0.005442129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000630707,"threshold_uncertainty_score":0.002109945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562695202006833,"score_gpt":0.2417208774225701,"score_spread":0.2260939254025018,"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."}}