{"id":"W2053461601","doi":"10.1002/jbio.200910039","title":"Flow cytometry with gold nanoparticles and their clusters as scattering contrast agents: FDTD simulation of light–cell interaction","year":2009,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lumerical Solutions (Canada); Carleton University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Finite-difference time-domain method; Flow cytometry; Contrast (vision); Nanoparticle; Light scattering; Colloidal gold; Scattering; Flow (mathematics); Materials science; Nanotechnology; Optics; Chemistry; Physics; Mechanics; Medicine","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":[0.0002779033,0.0003104311,0.0003387157,0.0002221777,0.0002792658,0.0004468858,0.0005725152,0.001098918,0.001139938],"category_scores_gemma":[0.0005642696,0.000293155,0.0003193966,0.0002705336,0.00044839,0.000356028,0.0002498616,0.0004021428,0.0001656784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000950965,"about_ca_system_score_gemma":0.000892491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009787479,"about_ca_topic_score_gemma":0.004198113,"domain_scores_codex":[0.9999461,0.00001292738,0.000002539403,0.000008879681,0.00001868629,0.00001083602],"domain_scores_gemma":[0.9998195,0.0001212453,0.00001247258,0.000009509207,0.0000263147,0.00001092137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003942131,0.00003345082,0.0003685088,0.0000505076,0.000008630199,0.00008221586,0.0001141545,0.970742,0.01868179,0.006397991,0.0002686195,0.003212709],"study_design_scores_gemma":[0.00001029944,0.000006548033,0.00004472013,0.000002740644,0.000001646587,0.00001043087,0.000006390958,0.9966376,0.00240465,0.000379211,0.0004924478,0.000003330499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3166386,0.0003402574,0.6700968,0.0004319228,0.0001144677,0.000160044,0.0003837833,0.0004902118,0.01134388],"genre_scores_gemma":[0.744702,0.0004418171,0.2429712,0.0001409882,0.00002223035,0.00030519,0.0002771813,0.0001240234,0.01101534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009787479,"threshold_uncertainty_score":0.01946098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008905598775315382,"score_gpt":0.2174485427278312,"score_spread":0.2085429439525158,"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."}}