{"id":"W4221048053","doi":"10.1093/burnst/tkac018","title":"MRI tracking of human Wharton’s jelly stem cells seeded onto acellular dermal matrix labeled with superparamagnetic iron oxide nanoparticles in burn wounds","year":2022,"lang":"en","type":"article","venue":"Burns & Trauma","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Mesenchymal stem cell; In vivo; Stem cell; Staining; Pathology; Population; Magnetic resonance imaging; Biomedical engineering; Nuclear medicine; Cell biology; Radiology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306605,0.0001552316,0.0001056513,0.0002003742,0.00007265002,0.0001209925,0.00006238304,0.0001564188,0.0004625297],"category_scores_gemma":[0.00008401919,0.0001024619,0.0001086895,0.00009276832,0.000112096,0.0001455054,0.00008752804,0.0001739222,0.00009933651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009116592,"about_ca_system_score_gemma":0.00008544455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915939,"about_ca_topic_score_gemma":0.0007655217,"domain_scores_codex":[0.9999499,0.000006805224,0.000003612022,0.00001253297,0.00001874994,0.000008441635],"domain_scores_gemma":[0.9999371,0.00001281328,0.00002138079,0.000004146865,0.00001490896,0.000009718816],"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":[0.00007061753,0.00001276291,0.0003388316,0.00001992052,0.000001654546,0.00003038074,0.00002422291,0.00008244129,0.9981489,0.00001661403,0.00001460159,0.001239133],"study_design_scores_gemma":[0.000006316246,0.0004512705,0.006095627,0.000004269134,0.00001280098,0.0001391379,0.00005240021,0.002100045,0.9904688,0.00001863813,0.0006465883,0.000004179934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967127,0.0005715312,0.002184016,0.00002600174,0.00001130192,0.0000110438,0.00003498703,0.00002029613,0.0004280485],"genre_scores_gemma":[0.993233,0.0006779971,0.003926072,0.00003621276,0.000007030717,0.000029737,0.00007910146,0.00001092474,0.001999981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005915939,"threshold_uncertainty_score":0.001547337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255071508165363,"score_gpt":0.2759823823525492,"score_spread":0.2534316672708956,"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."}}