{"id":"W2410370100","doi":"10.2310/7290.2011.00037","title":"Human Aortic Endothelial Cell Labeling with Positive Contrast Gadolinium Oxide Nanoparticles for Cellular Magnetic Resonance Imaging at 7 Tesla","year":2012,"lang":"en","type":"article","venue":"Molecular Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Hospital for Sick Children; University Health Network; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Gadolinium; Magnetic resonance imaging; Chemistry; Nuclear magnetic resonance; MRI contrast agent; Viability assay; Cell; Biophysics; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006143376,0.0002418306,0.0002516422,0.0001476255,0.0002935603,0.0003722386,0.0003535872,0.0003781697,0.0009855143],"category_scores_gemma":[0.0003654865,0.0002874715,0.0002012533,0.0001458866,0.0001828338,0.0002230326,0.0001730357,0.0004594149,0.0007170789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003260395,"about_ca_system_score_gemma":0.0002855296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095074,"about_ca_topic_score_gemma":0.002559047,"domain_scores_codex":[0.9998187,0.00005404161,0.00001135512,0.00003887263,0.00005182911,0.00002523678],"domain_scores_gemma":[0.9997948,0.00008123057,0.00002227935,0.00002031233,0.00006382851,0.00001756458],"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":[0.00003992242,0.000009168042,0.00005472445,0.00002216863,0.000002548927,0.00002193103,0.00002417898,0.00004776703,0.9987724,0.00007101252,0.00005570584,0.0008784332],"study_design_scores_gemma":[0.000008889068,0.0001362243,0.0008146475,0.000005773662,0.00001327612,0.0001891257,0.00001569309,0.001351086,0.994344,0.00005275479,0.003060988,0.000007470021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255615,0.004456955,0.06232584,0.000378197,0.00009451476,0.00008476104,0.0002986153,0.0003292638,0.006470259],"genre_scores_gemma":[0.8486136,0.004995177,0.1322119,0.0003456152,0.00005488692,0.0002235611,0.001110794,0.0001169106,0.0123275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095074,"threshold_uncertainty_score":0.003296852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007206822209268293,"score_gpt":0.2667072703683054,"score_spread":0.2595004481590372,"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."}}