{"id":"W2145214440","doi":"10.1039/c4cc01251h","title":"Mn<sup>II</sup>-containing coordination nanoparticles as highly efficient T<sub>1</sub> contrast agents for magnetic resonance imaging","year":2014,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Nanoparticle; Magnetic resonance imaging; Contrast (vision); Nuclear magnetic resonance; Resonance (particle physics); Materials science; Chemistry; Nanotechnology; Crystallography; Physics; Atomic physics; Optics; Medicine; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521575,0.000291096,0.0001808635,0.00009121766,0.0001256531,0.0002802821,0.0002086615,0.0002078124,0.0006318387],"category_scores_gemma":[0.0001480539,0.0001745367,0.00007396203,0.0000901003,0.0001636521,0.0002036888,0.0001478476,0.0002005447,0.0003658839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751136,"about_ca_system_score_gemma":0.0001042533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004519754,"about_ca_topic_score_gemma":0.0008616709,"domain_scores_codex":[0.9999437,0.00001365785,0.000003764649,0.00001560457,0.00001368706,0.000009511578],"domain_scores_gemma":[0.9999627,0.000007702438,0.0000081137,0.000003928007,0.000008547893,0.000009027169],"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":[0.0000914088,0.000007905534,0.00008475906,0.00005057866,0.000003517249,0.00003813521,0.00001725853,0.0001525254,0.9962841,0.0002203016,0.0001241277,0.002925379],"study_design_scores_gemma":[0.000008687725,0.00007315182,0.0003686177,0.000002711587,0.000008132864,0.0001515943,0.000005936278,0.0008872926,0.995438,0.00002673931,0.003026023,0.000003007992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645662,0.004337008,0.02376285,0.000180941,0.00006665532,0.0001033289,0.0001975989,0.0003342806,0.00645119],"genre_scores_gemma":[0.9661869,0.00137959,0.02476471,0.00007591074,0.00001337914,0.00003852657,0.0002138132,0.00008832436,0.007238876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006318387,"threshold_uncertainty_score":0.0021137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264622981796927,"score_gpt":0.2620241741727822,"score_spread":0.239377944354813,"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."}}