{"id":"W4324347359","doi":"10.1101/2023.03.14.532667","title":"<i>In vivo</i> tracking of adenoviral-transduced iron oxide-labeled bone marrow-derived dendritic cells using magnetic particle imaging","year":2023,"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; Flow cytometry; Preclinical imaging; Bone marrow; Pathology; Chemistry; Cancer research; Molecular biology; Biology; Medicine","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":[0.0003549178,0.0004898438,0.0006300154,0.000310889,0.00007435494,0.000156131,0.0004147036,0.0002302523,0.0001156601],"category_scores_gemma":[0.0000553696,0.0006383946,0.0001255038,0.0007907107,0.0001141392,0.0002382591,0.0001624849,0.000431507,0.00004691828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787019,"about_ca_system_score_gemma":0.0001149137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005547416,"about_ca_topic_score_gemma":0.000006067259,"domain_scores_codex":[0.9972807,0.00008211454,0.001012216,0.0006493533,0.0003306368,0.0006449334],"domain_scores_gemma":[0.9984699,0.0000837996,0.0002121573,0.0008687594,0.000172026,0.0001933012],"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":[0.00001075328,0.00009962582,0.001474164,0.0006857176,0.00001797367,0.00004200159,0.00002828409,0.007809539,0.9897286,0.00005869013,0.00004052571,0.000004141288],"study_design_scores_gemma":[0.0006861617,0.00001268352,0.01178107,0.0004151304,0.0000975416,5.213078e-8,0.00001048963,0.04474685,0.941573,0.000003796987,0.00008789539,0.0005853886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950699,0.0009873926,0.001751845,0.000167471,0.0005543295,0.0007040371,0.0001471587,0.0006155265,0.000002336665],"genre_scores_gemma":[0.9950036,0.0002714007,0.004185987,0.00006324553,0.0001032125,0.0001440936,4.025934e-7,0.0002224299,0.000005635864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04815565,"threshold_uncertainty_score":0.9996067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332417474051433,"score_gpt":0.209103340218585,"score_spread":0.1957791654780707,"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."}}