{"id":"W2033384015","doi":"10.1039/c2tb00020b","title":"Gold: a versatile tool for in vivo imaging","year":2012,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"Optical coherence tomography; Nanomedicine; Materials science; Nanotechnology; Photoacoustic imaging in biomedicine; Colloidal gold; Medical imaging; Preclinical imaging; Nanomaterials; Medical physics; Optical imaging; Photoacoustic tomography; Biomedical engineering; In vivo; Computer science; Optics; Nanoparticle; Radiology; Medicine; Artificial intelligence; 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":[0.0004416525,0.0007308654,0.0003541643,0.0005404475,0.0002737334,0.000728167,0.0006643324,0.001055783,0.001487608],"category_scores_gemma":[0.0002273408,0.0002686833,0.0001602427,0.0002984762,0.0006241255,0.0006931449,0.0008195103,0.0008671287,0.001562393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513391,"about_ca_system_score_gemma":0.000244525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00031376,"about_ca_topic_score_gemma":0.0005350683,"domain_scores_codex":[0.9996494,0.00006960903,0.00001607441,0.0001028557,0.0001359437,0.000026083],"domain_scores_gemma":[0.9999168,0.00002444365,0.00001643103,0.00001718196,0.0000119263,0.00001322548],"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":[0.00005103256,0.00002108879,0.0001445519,0.000520204,0.00001630197,0.0001870364,0.00008234866,0.0002780906,0.9279307,0.008624562,0.003679483,0.05846464],"study_design_scores_gemma":[0.0000114764,0.0002009523,0.0005528943,0.0000687142,0.00003155885,0.001365683,0.00004079678,0.001262806,0.7947883,0.003553331,0.1980975,0.00002600485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275492,0.2995366,0.4814959,0.006891018,0.002343234,0.0003307296,0.00138087,0.004664942,0.07580752],"genre_scores_gemma":[0.6108276,0.1052783,0.2271924,0.002345418,0.0008078309,0.0002640012,0.0007700698,0.0003639247,0.05215046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001487608,"threshold_uncertainty_score":0.004976571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005873197304017625,"score_gpt":0.2130060659466879,"score_spread":0.2071328686426703,"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."}}