{"id":"W3199757442","doi":"10.1101/2021.09.22.461401","title":"Magnetic Particle Imaging is a sensitive <i>in vivo</i> imaging modality for the quantification of dendritic cell migration","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"In vivo; Ex vivo; Magnetic particle imaging; Lymph; Lymph node; Magnetic resonance imaging; SIGNAL (programming language); Chemistry; Biomedical engineering; Materials science; Pathology; Medicine; Magnetic nanoparticles; Nanotechnology; Computer science; Biology; Nanoparticle; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003501552,0.0002484893,0.0002686699,0.00008522474,0.00008020294,0.0001772496,0.0002196743,0.00008352438,0.00002716708],"category_scores_gemma":[0.00006473083,0.0002664278,0.00009851487,0.0003701973,0.00007846335,0.000133154,0.00008229353,0.0001919013,0.000004847728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907338,"about_ca_system_score_gemma":0.00009744811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005889324,"about_ca_topic_score_gemma":0.00001109409,"domain_scores_codex":[0.9985116,0.00005843692,0.0005426197,0.0004251517,0.0001797619,0.0002824159],"domain_scores_gemma":[0.9985214,0.000153847,0.0001560978,0.0007410353,0.000358909,0.00006866623],"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":[0.000006436117,0.00007634884,0.003158076,0.0003363454,0.00001110552,0.000001958079,0.00006855236,0.002841044,0.9932393,0.000156741,0.00007475051,0.00002934064],"study_design_scores_gemma":[0.000234743,0.000003590305,0.02450828,0.00009287533,0.00005898152,1.282775e-8,0.00003809416,0.2797385,0.6947915,0.000001628516,0.0003324872,0.0001993356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454936,0.00114639,0.05061817,0.00118006,0.00027386,0.0009016732,0.0002195579,0.0001606997,0.000006032923],"genre_scores_gemma":[0.996602,0.0003877578,0.002371174,0.0001126647,0.00006619691,0.0003963418,0.000001039256,0.0000604776,0.000002323017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984478,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009116051758855048,"score_gpt":0.2036874532923104,"score_spread":0.1945714015334553,"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."}}