{"id":"W4385803438","doi":"10.1186/s41747-023-00359-4","title":"In vivo tracking of adenoviral-transduced iron oxide-labeled bone marrow-derived dendritic cells using magnetic particle imaging","year":2023,"lang":"en","type":"article","venue":"European Radiology Experimental","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"In vivo; Ex vivo; Preclinical imaging; Magnetic particle imaging; Bone marrow; Pathology; Cancer research; Chemistry; Biology; Medicine; Materials science; Nanotechnology; Magnetic nanoparticles","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":[0.0001335431,0.0001446316,0.0001220075,0.0001582003,0.00009326459,0.0002373844,0.0001406794,0.0002151058,0.0003963837],"category_scores_gemma":[0.00007389711,0.00008351563,0.0000857598,0.00008398532,0.0001260365,0.0001063315,0.0001005521,0.0002957016,0.0001456909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020884,"about_ca_system_score_gemma":0.0002067589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123331,"about_ca_topic_score_gemma":0.001034861,"domain_scores_codex":[0.9999455,0.00000546578,0.000003260942,0.00001744059,0.00001514697,0.00001327038],"domain_scores_gemma":[0.9999559,0.000009438842,0.00001276323,0.000003504139,0.000008987661,0.000009433264],"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":[0.00002668648,0.00001269733,0.0003145487,0.00001553383,0.000001168779,0.00001893335,0.00001345436,0.0001451833,0.9979759,0.0000659194,0.00002443341,0.001385585],"study_design_scores_gemma":[0.000009534822,0.00009695422,0.001775232,0.000004669219,0.000006480072,0.00005673321,0.00001940339,0.006277677,0.9909209,0.00004347029,0.0007859488,0.000002915432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762623,0.0005332386,0.0217162,0.00005721421,0.0000173841,0.00005824975,0.0001614667,0.0001081195,0.001085771],"genre_scores_gemma":[0.969259,0.0005238529,0.02799192,0.00005307469,0.000008622554,0.00007711519,0.0001963308,0.00002368812,0.001866302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123331,"threshold_uncertainty_score":0.002233565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367344798057594,"score_gpt":0.2356394709668825,"score_spread":0.2219660229863066,"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."}}