{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826994,0.0002361217,0.000418932,0.00008340809,0.0001386046,0.0001165659,0.00008735088,0.000083543,0.000005332681],"category_scores_gemma":[0.0007852374,0.0001622276,0.0000372572,0.0001894917,0.0002445026,0.00008689446,0.00009581949,0.0006470504,8.669889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004685331,"about_ca_system_score_gemma":0.00009232954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005271411,"about_ca_topic_score_gemma":0.0001548807,"domain_scores_codex":[0.9982504,0.0001059459,0.0004179906,0.0004838242,0.000321886,0.0004199273],"domain_scores_gemma":[0.9988408,0.0005163441,0.0001055325,0.0003132171,0.0000837585,0.0001403508],"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":[0.0003730065,0.0006814407,0.3690934,0.0001817643,0.00005995837,0.00155101,0.00170955,0.0000118529,0.625132,0.00004716314,0.000165211,0.0009936935],"study_design_scores_gemma":[0.00374843,0.001342496,0.3252791,0.001941131,0.0002552004,0.001851659,0.001095815,0.00105711,0.6608346,0.0008013388,0.001285423,0.0005077223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929509,0.001187254,0.000003553058,0.009460382,0.00004098377,0.0002570343,0.000001452415,0.0001259881,0.05941429],"genre_scores_gemma":[0.9858082,0.0001169243,0.01294514,0.0006980806,0.0001934711,0.00001293702,0.00000752272,0.00003307651,0.0001846725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05922962,"threshold_uncertainty_score":0.6615447,"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."}}