{"id":"W3188959817","doi":"10.1101/2021.08.04.455144","title":"Gadolinium-free Magnetic Resonance Imaging of the Liver using an Oatp1-targeted Manganese(III) Porphyrin","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Ontario Institute for Cancer Research; University of Toronto; Western University","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Breast Cancer Society of Canada","keywords":"Gadolinium; Magnetic resonance imaging; Manganese; MRI contrast agent; Chemistry; Hepatocyte; Nuclear magnetic resonance; Porphyrin; In vivo; Medicine; Biochemistry; Biology; In vitro; Radiology; Physics","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":[0.0008328803,0.0005427805,0.0007120188,0.0001678582,0.0002779975,0.0003367012,0.001603725,0.0002547168,0.0005283047],"category_scores_gemma":[0.00014504,0.0004751685,0.0002692103,0.0005756861,0.0003575455,0.0003888868,0.001060108,0.0005608135,0.00002091282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125153,"about_ca_system_score_gemma":0.0005959342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007479269,"about_ca_topic_score_gemma":0.00003292549,"domain_scores_codex":[0.9962884,0.0005225739,0.0007673681,0.001104606,0.0007176644,0.0005994395],"domain_scores_gemma":[0.995881,0.00006534389,0.0005180517,0.002660283,0.0006801307,0.0001951679],"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":[0.00003316258,0.0001484895,0.002155194,0.0002978538,0.00001352492,0.0001193087,0.00004331633,0.0001271452,0.9967943,0.0002322547,0.00003357059,0.000001919674],"study_design_scores_gemma":[0.0005241868,0.00002611116,0.1126417,0.000625313,0.0001528618,2.764682e-7,0.00001611296,0.001433315,0.8837827,0.00001100325,0.0002006685,0.0005857479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853485,0.01100371,0.0008279076,0.00008199972,0.001562117,0.0005193182,0.0004448805,0.0002030458,0.000008482721],"genre_scores_gemma":[0.9878873,0.0001536857,0.01124703,0.000238546,0.000326313,0.00003579328,6.515311e-7,0.0001066381,0.000004075405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130115,"threshold_uncertainty_score":0.99977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179259465142672,"score_gpt":0.221121759905556,"score_spread":0.1993291652541293,"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."}}