{"id":"W3149792719","doi":"10.1109/lpt.2021.3070079","title":"LED Excitation of an Imaging Cytometer for Bead-Based Immunoassay","year":2021,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Multiplex; Materials science; Optics; Lens (geology); Immunoassay; Bead; Point of care; Biomedical engineering; Optoelectronics; Medicine; Physics; Pathology; Bioinformatics","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":[0.000852433,0.0006302258,0.0004541572,0.000784752,0.0005441409,0.000835226,0.001312311,0.0009598489,0.002213016],"category_scores_gemma":[0.001191375,0.0003686132,0.0003444029,0.000512432,0.0005444262,0.0005272367,0.0007180985,0.001181842,0.001539914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884009,"about_ca_system_score_gemma":0.000852784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002936042,"about_ca_topic_score_gemma":0.0004375796,"domain_scores_codex":[0.9990793,0.0001635931,0.00004952219,0.0001974501,0.0004479377,0.00006206825],"domain_scores_gemma":[0.9990067,0.0004597218,0.00009548636,0.0001187063,0.0002628317,0.00005659306],"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":[0.0001027786,0.00008055319,0.0008641135,0.0001437302,0.00001044679,0.00009562407,0.00009202674,0.0005952356,0.9759532,0.001437764,0.0007449096,0.01987965],"study_design_scores_gemma":[0.00001299482,0.0001018846,0.0008911245,0.00001652267,0.00001331568,0.0002231582,0.00001613448,0.01271681,0.9798764,0.000219953,0.005888926,0.00002286795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1990634,0.001346878,0.7856483,0.0006257259,0.0004559278,0.0004485822,0.0007136976,0.005062995,0.006634501],"genre_scores_gemma":[0.3899588,0.001130136,0.5992062,0.0008099913,0.0002117403,0.001159456,0.0005654644,0.0002699643,0.006688205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002213016,"threshold_uncertainty_score":0.007403255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005368111203655899,"score_gpt":0.2212148288099406,"score_spread":0.2158467176062847,"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."}}