{"id":"W1906623925","doi":"10.1002/cmmi.456","title":"Labeling of multiple cell lines using a new iron oxide agent for cell tracking by MRI","year":2011,"lang":"en","type":"article","venue":"Contrast Media & Molecular Imaging","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Bayer HealthCare; Ontario Institute for Cancer Research; Canadian Cancer Society Research Institute; Cancer Research Society","keywords":"Viability assay; Flow cytometry; Chemistry; Cell; Iron oxide nanoparticles; In vivo; Fluorescence microscope; Rhodamine 123; Fluorescence; Staining; Biophysics; Iron oxide; Rhodamine; Cell culture; Cell biology; Molecular biology; Biochemistry; Biology; Pathology; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001519793,0.00027833,0.0003292955,0.0001334542,0.00005796827,0.00003130187,0.0002478335,0.0001108824,0.000007537286],"category_scores_gemma":[0.0001168494,0.0002905139,0.0001321312,0.0001362364,0.00007905794,0.0001033961,0.00005677314,0.0001771259,0.000002925572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005224122,"about_ca_system_score_gemma":0.00003720793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289692,"about_ca_topic_score_gemma":0.000004282278,"domain_scores_codex":[0.9986653,0.00001688425,0.0004046261,0.0002854015,0.0001448408,0.0004828902],"domain_scores_gemma":[0.9993522,0.00008906923,0.0001042663,0.0002859181,0.00007976663,0.00008875554],"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":[0.00001738845,0.00003429749,0.0005799084,0.0001595396,0.00001571746,0.00002307842,0.0006150329,0.0002273566,0.989862,0.000006369705,0.001772275,0.006687027],"study_design_scores_gemma":[0.0009427494,0.00001447077,0.00002693273,0.0001330009,0.00008585062,0.000006194493,0.0004201275,0.03498162,0.9619839,0.00007238748,0.00103894,0.0002938549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5596455,0.01516787,0.4242508,0.00003270695,0.0002555201,0.000248905,0.00001927992,0.000312998,0.00006641397],"genre_scores_gemma":[0.902545,0.0002425774,0.09698928,0.0000615482,0.00004882638,0.000005320535,0.00001808152,0.00007853556,0.00001081094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3428995,"threshold_uncertainty_score":0.9999547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776143903600831,"score_gpt":0.2055375444349146,"score_spread":0.1877761053989063,"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."}}