{"id":"W2101574424","doi":"10.2337/db06-0393","title":"Imaging Islets Labeled With Magnetic Nanoparticles at 1.5 Tesla","year":2006,"lang":"en","type":"article","venue":"Diabetes","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lawson Health Research Institute; London Health Sciences Centre; Robarts Clinical Trials","funders":"","keywords":"Islet; In vivo; Magnetic resonance imaging; Pancreatic islets; Nuclear magnetic resonance; Chemistry; Ex vivo; Electroporation; Capsule; Preclinical imaging; Biology; Medicine; Insulin; Endocrinology; Biochemistry; Physics; Radiology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008893726,0.000163933,0.0002601413,0.00008178911,0.00009721174,0.00002989287,0.0000464139,0.00003294818,0.0008374692],"category_scores_gemma":[0.00006297707,0.0001204905,0.00005037365,0.0002053864,0.0001206047,0.00006921675,0.00002822345,0.00006812801,0.0003360055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004976585,"about_ca_system_score_gemma":0.00002953036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002454187,"about_ca_topic_score_gemma":0.000001726327,"domain_scores_codex":[0.9989294,0.00002484957,0.0001828193,0.0002435254,0.0002190325,0.0004003634],"domain_scores_gemma":[0.999397,0.0001190109,0.0000477693,0.0002494428,0.00007421778,0.0001125086],"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":[0.00002508092,0.00007866225,0.4800533,0.00003272281,0.0000138326,0.00001295918,0.0000149664,0.000002891014,0.5116838,0.00009965706,0.006878666,0.001103493],"study_design_scores_gemma":[0.00254765,0.0002835415,0.1891259,0.0001166786,0.0001733259,0.00001290439,0.00003751087,0.0008995145,0.7970489,0.0001993136,0.009336327,0.0002184043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744033,0.002477203,0.000002427502,0.0008782233,0.00006418747,0.0001869568,0.000005420871,0.000193278,0.02178904],"genre_scores_gemma":[0.9897237,0.000004805755,0.0007206494,0.001280581,0.0001233422,0.00003896381,0.00003339678,0.00002960719,0.008044908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909274,"threshold_uncertainty_score":0.9169701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004941114672360065,"score_gpt":0.1980710044786856,"score_spread":0.1931298898063255,"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."}}