{"id":"W4401701619","doi":"10.1063/5.0215273","title":"Iodinated gadolinium-gold nanomaterial as a multimodal contrast agent for cartilage tissue imaging","year":2024,"lang":"en","type":"article","venue":"APL Bioengineering","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute","funders":"Kaohsiung Chang Gung Memorial Hospital; National Cheng Kung University; Institute of Nuclear Energy Research; National Health Research Institutes; Chang Gung Medical Foundation; Sun Yat-sen University; National Science and Technology Council; Academia Sinica; Chang Gung Memorial Hospital; National Sun Yat-sen University","keywords":"Gadolinium; Contrast (vision); Cartilage; Nanomaterials; Iodinated contrast; Biomedical engineering; Medicine; Materials science; Radiology; Nanotechnology; Computer science; Anatomy; Artificial intelligence; Computed tomography; Metallurgy","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":[0.0003680528,0.0004242217,0.0002220521,0.0003707505,0.0001463943,0.0002496704,0.0003347145,0.000658495,0.0002562318],"category_scores_gemma":[0.0002352625,0.0001935681,0.0002857979,0.000201589,0.000278817,0.0002887289,0.0002698296,0.0003166497,0.0002221836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004182055,"about_ca_system_score_gemma":0.0002989492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006114568,"about_ca_topic_score_gemma":0.001321209,"domain_scores_codex":[0.9998013,0.00004180769,0.00001419686,0.00006147331,0.0000529542,0.00002830793],"domain_scores_gemma":[0.9999228,0.00001865505,0.0000182556,0.000008617787,0.00001774568,0.00001400714],"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":[0.00001407103,0.000009789514,0.00007383261,0.00006164088,0.000004661183,0.00005654198,0.00001097122,0.0001386995,0.9973657,0.0001963173,0.00004974665,0.00201812],"study_design_scores_gemma":[0.00000562518,0.0001051325,0.0003942433,0.000005723275,0.00002045177,0.0002153669,0.000008425813,0.002487266,0.994214,0.00005132427,0.002482395,0.000009973814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8380558,0.02582628,0.1268513,0.0007498665,0.0002255021,0.0002159368,0.0001531372,0.0004828987,0.007439257],"genre_scores_gemma":[0.9103001,0.003359112,0.08294646,0.0003330961,0.00003259827,0.00007146674,0.0001124694,0.00003664898,0.002808111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000658495,"threshold_uncertainty_score":0.003034294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006904706623609736,"score_gpt":0.2310378438808707,"score_spread":0.224133137257261,"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."}}