{"id":"W4304806935","doi":"10.1155/2022/5425851","title":"Lymph Node Metastases Detection Using Gd<sub>2</sub>O<sub>3</sub>@PCD as Novel Multifunctional Contrast Imaging Agent in Metabolic Magnetic Resonance Molecular Imaging","year":2022,"lang":"en","type":"article","venue":"Contrast Media & Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Tehran University of Medical Sciences and Health Services; National Brain Mapping Laboratory","keywords":"Lymph; Lymph node; Magnetic resonance imaging; Axillary lymph nodes; Gadolinium; Medicine; Breast cancer; Sentinel lymph node; Nuclear medicine; Metastasis; Pathology; Biomedical engineering; Cancer; Radiology; Chemistry; Internal medicine","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":[0.0001148935,0.0001970317,0.0001478269,0.0001237078,0.00006178909,0.0001450783,0.0001202124,0.0002352556,0.0002929771],"category_scores_gemma":[0.00009373204,0.0001502897,0.0001180827,0.00007051678,0.0001515548,0.0002082593,0.0001502053,0.0001522351,0.0001006655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499582,"about_ca_system_score_gemma":0.00009661246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003779707,"about_ca_topic_score_gemma":0.0006936445,"domain_scores_codex":[0.999949,0.000008853897,0.00000216696,0.0000157353,0.00001270628,0.00001157606],"domain_scores_gemma":[0.9999665,0.000007949039,0.00001003563,0.000002775015,0.000005682,0.00000706009],"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":[0.00002533208,0.000006227455,0.0001115666,0.00001438542,0.000001527627,0.00002441132,0.000005497984,0.00008153396,0.9985961,0.00003101541,0.00001831486,0.001084033],"study_design_scores_gemma":[0.00001501598,0.0002533983,0.002127445,0.000004278612,0.00001687557,0.0002995885,0.00001139301,0.003106129,0.9926394,0.00003888518,0.001480747,0.000006850922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796872,0.001364159,0.01760974,0.00008206555,0.0000196407,0.00003082028,0.00003289876,0.00008734033,0.001086142],"genre_scores_gemma":[0.9778674,0.000703011,0.01982335,0.00008903344,0.0000106878,0.00002677948,0.00004877448,0.00001719994,0.001413828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003779707,"threshold_uncertainty_score":0.001088083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113047663602535,"score_gpt":0.256947130187153,"score_spread":0.2456423638268995,"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."}}