{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004175116,0.0002208625,0.0001834136,0.0002132291,0.0001509076,0.0003353711,0.0002803411,0.0003613714,0.0007355991],"category_scores_gemma":[0.0003217575,0.0001846041,0.0001375755,0.00008324903,0.0001959486,0.0002941498,0.0001458784,0.0004069106,0.0003060968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542071,"about_ca_system_score_gemma":0.0001208644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002975766,"about_ca_topic_score_gemma":0.0003996978,"domain_scores_codex":[0.9999192,0.00001864356,0.000003991788,0.00002286859,0.00001769143,0.00001770128],"domain_scores_gemma":[0.9998809,0.00003891941,0.0000223451,0.00001633279,0.00001949547,0.00002201887],"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":[0.00004051219,0.0000111799,0.0001358598,0.00001590765,0.000002612195,0.00003779434,0.00001195736,0.000109185,0.9972956,0.00006125016,0.00003631839,0.002241775],"study_design_scores_gemma":[0.00002671753,0.0003337108,0.002842871,0.000007932847,0.0000197329,0.0009229898,0.00001711168,0.003322312,0.9901448,0.0001436429,0.002206963,0.0000112053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031699,0.002593293,0.09075493,0.0003306239,0.00005124074,0.00004827537,0.00009465931,0.0005411246,0.002415905],"genre_scores_gemma":[0.8634622,0.001676102,0.1313087,0.0001768984,0.00003585323,0.00005039652,0.0001830751,0.0001023109,0.003004536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007355991,"threshold_uncertainty_score":0.002460837,"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."}}