{"id":"W2329700112","doi":"10.2741/362","title":"Bioconjugated nanomaterials on devices for infectious disease diagnostics","year":2011,"lang":"en","type":"article","venue":"Frontiers in Bioscience-Elite","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; University of Toronto","keywords":"Nanomaterials; Nanotechnology; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Disease; Medicine; Materials science; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148518,0.00015289,0.0001724137,0.0002208747,0.00007712469,0.00005289694,0.0001408951,0.00008400049,0.00001783194],"category_scores_gemma":[0.0001615162,0.0001339512,0.00005989839,0.0003699789,0.0001113494,0.0001339764,0.00001544027,0.00006197334,0.00002032067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006308326,"about_ca_system_score_gemma":0.00001333194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001122996,"about_ca_topic_score_gemma":0.000006253914,"domain_scores_codex":[0.9990736,0.00001910612,0.0002279847,0.0002498071,0.0001090564,0.0003204372],"domain_scores_gemma":[0.9995966,0.00003680326,0.00003126235,0.0001629504,0.00002852306,0.0001438565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471872,0.00212966,0.4516906,0.002501678,0.0003962076,0.0002509168,0.003752171,0.005961781,0.1229524,0.01065047,0.08661302,0.3116291],"study_design_scores_gemma":[0.003050814,0.001006027,0.5919378,0.0008528192,0.0001951554,0.000007101526,0.0003784163,0.1567173,0.1491528,0.01550426,0.07855825,0.002639213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798961,0.0006360916,0.01130571,0.00004908135,0.005000498,0.000534102,0.0001692944,0.000354986,0.002054131],"genre_scores_gemma":[0.9970108,0.0008437232,0.001795271,0.0001515536,0.00008382396,0.00004648683,0.000008899056,0.00001539228,0.00004409162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089899,"threshold_uncertainty_score":0.5462371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602730950317835,"score_gpt":0.2140910507407093,"score_spread":0.1980637412375309,"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."}}