{"id":"W2402490525","doi":"10.1039/c6tb00821f","title":"Magnetic resonance imaging/fluorescence dual modality protocol using designed phosphonate ligands coupled to superparamagnetic iron oxide nanoparticles","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; HEC Montréal; Polytechnique Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Phosphonate; Fluorescence; Superparamagnetism; Materials science; Nanoparticle; Nuclear magnetic resonance; Nanotechnology; Chemistry; Magnetization; Optics; Organic chemistry; Physics; Magnetic field","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":[0.0004165967,0.0007511356,0.0003023784,0.0002279665,0.000288917,0.0002647982,0.0005663877,0.000497272,0.001056542],"category_scores_gemma":[0.0001828524,0.0002727856,0.0001952377,0.0001486775,0.0003672097,0.0004380539,0.0003385136,0.0006766007,0.0003183493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006117244,"about_ca_system_score_gemma":0.0003363938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004796208,"about_ca_topic_score_gemma":0.0009850102,"domain_scores_codex":[0.9998268,0.00003552262,0.00001280517,0.000057793,0.00003560235,0.0000314721],"domain_scores_gemma":[0.9998645,0.00002781972,0.00004064108,0.000014354,0.00002923723,0.00002352349],"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":[0.00003505922,0.00001304875,0.0000122276,0.00004409595,0.000002123682,0.0000266399,0.00001648628,0.0001073773,0.9986084,0.0001903573,0.00004270414,0.0009013701],"study_design_scores_gemma":[0.000007071028,0.00006830686,0.00005067327,0.000001701889,0.00000421059,0.00004603279,0.000003454903,0.0006641619,0.9981393,0.00002505829,0.0009852867,0.000004883914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293055,0.001577815,0.1614665,0.000466327,0.0001042276,0.0006960604,0.0003937149,0.0007755103,0.005214381],"genre_scores_gemma":[0.850977,0.001210705,0.1388974,0.0002195811,0.0000395271,0.000989949,0.0004001657,0.00008807286,0.007177519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001056542,"threshold_uncertainty_score":0.0044384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249407769593636,"score_gpt":0.2510173486882728,"score_spread":0.2385232709923364,"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."}}