{"id":"W1972311486","doi":"10.1002/mrm.20914","title":"Cellular MRI contrast via coexpression of transferrin receptor and ferritin","year":2006,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Transferrin receptor; Ferritin; Transferrin; Viability assay; Cell biology; Transgene; Receptor; Cell culture; Biology; Transfection; Stem cell; Cell; Chemistry; Gene; Biochemistry; Genetics","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":[0.0003093321,0.0003154781,0.0002839004,0.00017485,0.0001196096,0.0003252621,0.0002703897,0.0004141061,0.0005322846],"category_scores_gemma":[0.0002500458,0.0001628899,0.0001973547,0.0001124541,0.0002677551,0.0002312834,0.0002652814,0.0004716902,0.0002738133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349222,"about_ca_system_score_gemma":0.0001614836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008495483,"about_ca_topic_score_gemma":0.001152056,"domain_scores_codex":[0.999809,0.00003910292,0.00001660717,0.00003361903,0.00006524271,0.00003654107],"domain_scores_gemma":[0.9998466,0.00004560288,0.00003826607,0.00001995403,0.00002720287,0.00002242242],"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":[0.00002133199,0.000005999795,0.00005260944,0.000009959406,0.000001542351,0.0000267295,0.000004880069,0.00002111108,0.9995018,0.00006641887,0.000008045644,0.0002795264],"study_design_scores_gemma":[0.00001003284,0.0001446283,0.0005927129,0.000002818677,0.00001115993,0.0002319959,0.00001074303,0.0008045562,0.9966588,0.00001923886,0.001510632,0.000002653929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988612,0.001049213,0.008824436,0.0001405291,0.00002238471,0.00003541066,0.00006778171,0.00007092408,0.001177195],"genre_scores_gemma":[0.9842502,0.0008092005,0.01224219,0.00004998679,0.00001044435,0.00003110593,0.0002372342,0.00003179482,0.002337856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008495483,"threshold_uncertainty_score":0.002533793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007100461074471618,"score_gpt":0.2345009337635615,"score_spread":0.2274004726890899,"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."}}