{"id":"W1963507107","doi":"10.1002/jmri.23897","title":"Effectiveness of micron‐sized superparamagnetic iron oxide particles as markers for detection of migration of bone marrow‐derived mesenchymal stromal cells in a stroke model","year":2013,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Stromal cell; Mesenchymal stem cell; Bone marrow; Magnetic resonance imaging; Pathology; Iron oxide; Ferumoxytol; Cell; Biomedical engineering; Chemistry; Medicine; Biochemistry; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666399,0.0002008251,0.0006395208,0.000288696,0.00003527543,0.00003603155,0.0002400569,0.00006066238,0.00005396775],"category_scores_gemma":[0.0003271526,0.000189474,0.0001862121,0.0002214734,0.0002687947,0.0005716252,0.00005155374,0.0001329773,0.000003013372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104812,"about_ca_system_score_gemma":0.0002003306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006686365,"about_ca_topic_score_gemma":0.00004578298,"domain_scores_codex":[0.9971738,0.000416898,0.001293759,0.0002458481,0.0004919347,0.0003776901],"domain_scores_gemma":[0.9976388,0.0006215788,0.0008592675,0.0002477984,0.0005386456,0.00009391498],"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":[0.002418677,0.0002277287,0.005089044,0.0003711098,0.000004398644,0.000007187515,0.0002355183,0.007960507,0.9780887,0.000007016073,0.00001302599,0.005577058],"study_design_scores_gemma":[0.00310805,0.0007691559,0.06262057,0.000436574,0.0000583898,0.00002435534,0.0003304166,0.09668636,0.8355668,0.000266201,0.000002941228,0.0001301723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938882,0.002898732,0.002260794,0.000100914,0.0001143271,0.0006953487,0.00002757287,0.000007265452,0.000006865875],"genre_scores_gemma":[0.981709,0.00007243764,0.01811635,0.00001035896,0.00001396854,0.00003844654,6.977399e-7,0.00002325502,0.00001549336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1425219,"threshold_uncertainty_score":0.7726526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005723586729413542,"score_gpt":0.2168598497708405,"score_spread":0.211136263041427,"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."}}