{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003209331,0.0003424281,0.0003216208,0.0002825379,0.0001737995,0.0003813888,0.0003061648,0.0004115266,0.0005332067],"category_scores_gemma":[0.0001393769,0.0002271302,0.0002034687,0.0001064072,0.0002472305,0.0003230858,0.0002652821,0.0004850832,0.000305199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441476,"about_ca_system_score_gemma":0.0001681287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005267027,"about_ca_topic_score_gemma":0.001019975,"domain_scores_codex":[0.9998813,0.00001790356,0.000009937982,0.00003985058,0.00003502623,0.00001601663],"domain_scores_gemma":[0.9999231,0.00002147531,0.00001800307,0.00001195286,0.00001348665,0.00001193404],"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":[0.00001151827,0.000005498016,0.00004256448,0.000009787479,0.000001255216,0.00001019283,0.00001012803,0.00001883192,0.9990172,0.00005714299,0.000008821637,0.0008068331],"study_design_scores_gemma":[0.000004642745,0.00006770914,0.0001840806,0.000002201199,0.000005864269,0.00008115827,0.000005701793,0.0005746557,0.9978224,0.0000145973,0.001234586,0.000002391636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175609,0.002454545,0.07681342,0.000265255,0.00006006404,0.00009015425,0.0001294778,0.0003169426,0.002309246],"genre_scores_gemma":[0.883837,0.001817533,0.1070933,0.0001285377,0.00002310129,0.000134831,0.0003127976,0.00008400782,0.006568998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005332067,"threshold_uncertainty_score":0.001783729,"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."}}