{"id":"W2162842306","doi":"10.4137/mri.s23557","title":"Iron Oxide as an Mri Contrast Agent for Cell Tracking: Supplementary Issue","year":2015,"lang":"en","type":"review","venue":"Magnetic Resonance Insights","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Contrast (vision); Magnetic resonance imaging; Ex vivo; Iron oxide; In vivo; Contrast enhancement; Multiple sclerosis; Cell; Stroke (engine); Medicine; Pathology; Biomedical engineering; Materials science; Chemistry; Radiology; Computer science; Biology; Immunology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007446911,0.0008573039,0.001867129,0.0002000973,0.0002153661,0.0003074912,0.001156558,0.0003612798,0.002202089],"category_scores_gemma":[0.00006637743,0.0007099038,0.000352805,0.0002960116,0.0002213998,0.0003176188,0.0001785255,0.0002872431,0.00177094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868137,"about_ca_system_score_gemma":0.0008867364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003909768,"about_ca_topic_score_gemma":0.0001942487,"domain_scores_codex":[0.9948841,0.0005127214,0.001350926,0.001395293,0.0008495603,0.001007383],"domain_scores_gemma":[0.9971504,0.0003384632,0.0005287706,0.001291911,0.0002517486,0.0004386703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002316401,0.0008525706,0.000001929958,0.008337127,0.00001097232,0.0003155588,0.0006745516,0.00001108241,0.007051412,0.000244876,0.04845527,0.933813],"study_design_scores_gemma":[0.001230517,0.001407762,0.000002239466,0.00180579,0.0004652661,0.00003126497,0.00006784577,0.00004075736,0.01041999,0.0002273807,0.9834508,0.0008504324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01292946,0.9808042,0.00002594596,0.00006545756,0.001119096,0.003580061,0.0008271614,0.0001172897,0.0005313496],"genre_scores_gemma":[0.0004828989,0.9904454,0.00314634,0.0003445866,0.0007796677,0.001045473,0.0005312013,0.0001895557,0.003034859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9349955,"threshold_uncertainty_score":0.9995352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843920891054372,"score_gpt":0.3051730696630469,"score_spread":0.2667338607525032,"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."}}