{"id":"W2582496087","doi":"10.18383/j.tom.2016.00103","title":"Pre-Labeling of Immune Cells in Normal Bone Marrow and Spleen for Subsequent Cell Tracking by MRI","year":2016,"lang":"en","type":"article","venue":"Tomography","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Spleen; Bone marrow; Pathology; Immune system; Cell; Medicine; Biology; Immunology; Biochemistry","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":[0.0003838266,0.0006038104,0.0003914278,0.0003178795,0.0001775507,0.0002760797,0.0003094318,0.0004171682,0.001855723],"category_scores_gemma":[0.0002122378,0.0002276295,0.0002262317,0.0001311533,0.0002361563,0.0002122542,0.0002364152,0.0007050608,0.001169069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452329,"about_ca_system_score_gemma":0.0002432822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005651194,"about_ca_topic_score_gemma":0.001003185,"domain_scores_codex":[0.9998461,0.00002656239,0.00001237934,0.00004657287,0.00003753744,0.00003076699],"domain_scores_gemma":[0.9998996,0.00002163342,0.00002137628,0.00001865084,0.00002247684,0.00001618557],"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":[0.00003631438,0.000007943951,0.00005212671,0.00002567802,0.000001185695,0.00001677648,0.000009563319,0.00002096021,0.9990196,0.00003436442,0.00001913418,0.0007563036],"study_design_scores_gemma":[0.0000135307,0.0002638912,0.001577057,0.00001243617,0.00001521688,0.0001602083,0.00001625123,0.0007252865,0.994691,0.00004784755,0.002473718,0.000003566384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8286229,0.007860854,0.1532492,0.0002653768,0.0001654174,0.0007834558,0.0008332407,0.001277192,0.006942448],"genre_scores_gemma":[0.862377,0.003795593,0.1209165,0.0003771851,0.00006180647,0.0009245562,0.00189602,0.0002327894,0.009418471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001855723,"threshold_uncertainty_score":0.006208062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099705108094653,"score_gpt":0.2645849589819674,"score_spread":0.2535879079010209,"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."}}