{"id":"W2920967091","doi":"10.1117/12.2512298","title":"Imaging of murine melanoma tumors using fluorescent gold nanoparticles","year":2019,"lang":"en","type":"article","venue":"","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Colloidal gold; Melanoma; Histology; In vivo; Materials science; Pathology; Biomedical engineering; Contrast (vision); Preclinical imaging; Gold standard (test); Tomography; Nuclear medicine; Nanoparticle; Medicine; Radiology; Biology; Optics; Cancer research; Nanotechnology; 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":[0.0001298509,0.0003978777,0.000129975,0.0002444262,0.00007629838,0.0001132492,0.0001265219,0.0003028669,0.000518774],"category_scores_gemma":[0.00005865768,0.0001807471,0.0001769306,0.00006942452,0.000143611,0.0001195416,0.0001328786,0.0002353861,0.0002021504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932758,"about_ca_system_score_gemma":0.00008340453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007132436,"about_ca_topic_score_gemma":0.001251018,"domain_scores_codex":[0.9999136,0.00001154666,0.000005480094,0.00002940416,0.00002296675,0.00001696868],"domain_scores_gemma":[0.9999297,0.00001311855,0.00002648908,0.000008400659,0.00001171985,0.00001066844],"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":[0.00001796264,0.000004348592,0.00007540063,0.000007750126,8.852176e-7,0.00001033158,0.000004165045,0.00006708752,0.9994518,0.0000141014,0.000004616669,0.0003414436],"study_design_scores_gemma":[0.000002774171,0.0002035454,0.00138935,0.000002497044,0.000003808997,0.0001134281,0.000005518135,0.0008021129,0.9971535,0.00001531595,0.0003061993,0.000002050826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979881,0.0009906671,0.01706344,0.00005176734,0.00001226577,0.00004454681,0.0001929284,0.0002007623,0.001562601],"genre_scores_gemma":[0.9596604,0.0008329959,0.03509371,0.00005348908,0.000006723006,0.00005334253,0.0002470335,0.00004399103,0.004008259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007132436,"threshold_uncertainty_score":0.001735449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007900413142390235,"score_gpt":0.2034738080025513,"score_spread":0.195573394860161,"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."}}