{"id":"W2773776259","doi":"10.1007/s10904-017-0766-7","title":"Paramagnetic Quantum Dots as Multimodal Probes for Potential Applications in Nervous System Imaging","year":2017,"lang":"en","type":"article","venue":"Journal of Inorganic and Organometallic Polymers and Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ottawa Hospital Research Institute","keywords":"Quantum dot; Nanomaterials; Materials science; Magnetic resonance imaging; Nanoparticle; Nuclear magnetic resonance; Paramagnetism; Fluorescence-lifetime imaging microscopy; Absorbance; Nanotechnology; Fluorescence; Biomedical engineering; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667059,0.0002002222,0.0001555671,0.0001721421,0.0002037082,0.000486011,0.0003046182,0.0006618375,0.001855015],"category_scores_gemma":[0.0002341423,0.0001750201,0.0001056526,0.0001419638,0.0002514844,0.0006118226,0.0002806361,0.0003903424,0.0004005742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003619353,"about_ca_system_score_gemma":0.0001430757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003614867,"about_ca_topic_score_gemma":0.0007758703,"domain_scores_codex":[0.9999398,0.00001505852,0.000002761209,0.00002027896,0.000009517556,0.00001258048],"domain_scores_gemma":[0.9999304,0.00003104648,0.000007623404,0.000007343504,0.00001153138,0.00001201198],"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":[0.00009201493,0.00002050125,0.00008698764,0.00007540857,0.000006084411,0.00006026601,0.00002896306,0.0002402429,0.9890855,0.0020865,0.0003327916,0.007884773],"study_design_scores_gemma":[0.00001826977,0.0001741117,0.0004515084,0.00001044993,0.00002824463,0.0001563118,0.00002970674,0.005677855,0.985692,0.0005625024,0.007189665,0.000009531424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703988,0.01630017,0.09495738,0.00166646,0.0002648079,0.0001669396,0.0004615456,0.0005451666,0.01523886],"genre_scores_gemma":[0.9666573,0.002730954,0.0237611,0.0002458344,0.00002800458,0.00005844789,0.0001377557,0.00004122174,0.006339354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001855015,"threshold_uncertainty_score":0.006205618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004503985736404117,"score_gpt":0.2101978847994058,"score_spread":0.2056938990630017,"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."}}