{"id":"W3195557031","doi":"10.1038/s41598-021-95716-x","title":"PEG-modified gadolinium nanoparticles as contrast agents for in vivo micro-CT","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Gadolinium; In vivo; Spleen; Kidney; PEG ratio; Contrast (vision); Pathology; Ethylene glycol; Chemistry; MRI contrast agent; Medicine; Biomedical engineering; Biology; Internal 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001363019,0.0001378417,0.0002600361,0.0000911463,0.0002744096,0.0004698147,0.0001328708,0.00003105662,0.001406466],"category_scores_gemma":[0.0002134115,0.0001236563,0.0001179304,0.0003329505,0.0001806596,0.0002484867,0.00005273557,0.00005229797,0.0001113534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002869272,"about_ca_system_score_gemma":0.0002231613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007404212,"about_ca_topic_score_gemma":0.0002066552,"domain_scores_codex":[0.9977313,0.00008723783,0.0005850712,0.0007808585,0.0003846244,0.0004309624],"domain_scores_gemma":[0.9988959,0.00006780884,0.0001649287,0.000536304,0.0002129197,0.0001221547],"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":[0.00002205175,0.0001225112,0.0004379367,0.00003414506,0.000004828896,0.001142904,0.0001907045,0.00004403122,0.9943734,0.0006548187,0.002916026,0.00005664538],"study_design_scores_gemma":[0.0003513353,0.00001857774,0.0004717036,0.00003716049,0.0000161915,0.0004782109,0.0001309437,0.00004230071,0.966521,0.01549227,0.01628359,0.000156699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918051,0.0001369875,0.0002174463,0.0002260651,0.005756721,0.0003222698,0.00003643477,0.00005783522,0.001441169],"genre_scores_gemma":[0.9938254,0.000002766329,0.0009647275,0.0001604605,0.00005724772,0.00004477757,0.0000431435,0.00001350581,0.004888024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02785238,"threshold_uncertainty_score":0.9995064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665115988510674,"score_gpt":0.2873468837272917,"score_spread":0.250695723842185,"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."}}