{"id":"W2150453394","doi":"10.1002/adfm.201101766","title":"Enhanced Relaxometric Properties of MRI “Positive” Contrast Agents Confined in Three‐Dimensional Cubic Mesoporous Silica Nanoparticles","year":2011,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Materials science; Mesoporous silica; Paramagnetism; Nanoparticle; Mesoporous material; Porosity; MRI contrast agent; Context (archaeology); Particle (ecology); Nuclear magnetic resonance; Magnetic resonance imaging; Nanotechnology; Chemistry; Organic chemistry","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":[0.0001672826,0.000208642,0.0001129908,0.0001105105,0.00007367961,0.000142507,0.0001059142,0.0002292272,0.0003536053],"category_scores_gemma":[0.0002387852,0.0001401866,0.0001249809,0.00004738257,0.0001824156,0.0001656847,0.0001062256,0.0001693395,0.00017034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019258,"about_ca_system_score_gemma":0.000141996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325967,"about_ca_topic_score_gemma":0.001537322,"domain_scores_codex":[0.9999377,0.000009027476,0.000003726875,0.00001439711,0.00002117464,0.00001400725],"domain_scores_gemma":[0.9998653,0.00004600557,0.00003525432,0.000007040161,0.00002503874,0.00002137824],"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":[0.0000330371,0.000002948364,0.00005490173,0.0000101884,0.000001627034,0.00001025855,0.00001124744,0.00007511731,0.9995562,0.00001790328,0.00001114226,0.0002152571],"study_design_scores_gemma":[0.000007537431,0.0001117664,0.001081353,0.000001781485,0.000004675097,0.0000288174,0.00001032131,0.001859967,0.9966168,0.000007612822,0.0002645754,0.000004894668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983399,0.0002024672,0.0009302812,0.00001602615,0.000005784323,0.000005070833,0.00003357331,0.00003446611,0.0004323159],"genre_scores_gemma":[0.9981665,0.0001025853,0.001044968,0.00001447062,0.000004160605,0.000006195258,0.00005555961,0.000009954204,0.0005956993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001325967,"threshold_uncertainty_score":0.002636492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089637053651637,"score_gpt":0.226825551462284,"score_spread":0.1859291809257676,"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."}}