{"id":"W3177379472","doi":"10.1149/ma2021-0110537mtgabs","title":"Preclinical Imaging and Spectroscopy in the NIR-II Window with Indocyanine Green (ICG) and Single-Walled Carbon Nanotubes","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Photon Etc (Canada)","funders":"","keywords":"Indocyanine green; Hyperspectral imaging; Materials science; Autofluorescence; Penetration depth; Optics; Near-infrared spectroscopy; Photothermal therapy; Preclinical imaging; Spectral imaging; Wavelength; Multispectral image; Optoelectronics; Biomedical engineering; In vivo; Fluorescence; Nanotechnology; Medicine; Remote sensing; Physics","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":[0.0005472797,0.0005620139,0.0002164547,0.0003203639,0.0001769753,0.0002241439,0.0003711826,0.0005692776,0.001110245],"category_scores_gemma":[0.0002722745,0.0002209012,0.0002748587,0.000111891,0.0002908485,0.0004282194,0.0001455303,0.0006586356,0.0003943536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725038,"about_ca_system_score_gemma":0.0004012274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983519,"about_ca_topic_score_gemma":0.0009981713,"domain_scores_codex":[0.9998472,0.00004226946,0.000007087106,0.00003255924,0.00004181447,0.00002908206],"domain_scores_gemma":[0.9998288,0.00003812108,0.00004048181,0.0000233819,0.00003416832,0.00003491171],"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":[0.00009824232,0.00009766668,0.00006876941,0.00003017899,0.00000294905,0.00002299071,0.00001490945,0.0001798117,0.9978638,0.0001329724,0.00007237277,0.001415236],"study_design_scores_gemma":[0.00002892717,0.002646198,0.001008202,0.00001041933,0.00001972878,0.0001794799,0.00001111497,0.001830174,0.9908072,0.00008028676,0.003371181,0.00000701093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056466,0.003538491,0.08233594,0.0004995379,0.0001336429,0.0007038345,0.0005768672,0.00064108,0.005924005],"genre_scores_gemma":[0.90722,0.003908742,0.07676398,0.0004261679,0.00006927865,0.001285131,0.0008282161,0.0001576911,0.009340759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001110245,"threshold_uncertainty_score":0.003714204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815901562096145,"score_gpt":0.2904751668850532,"score_spread":0.2723161512640918,"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."}}