{"id":"W2323556554","doi":"10.1021/nn102873w","title":"Rapid Screening of Genetic Biomarkers of Infectious Agents Using Quantum Dot Barcodes","year":2011,"lang":"en","type":"article","venue":"ACS Nano","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Barcode; Quantum dot; Infectious disease (medical specialty); Malaria; Computer science; Computational biology; Virology; Nanotechnology; Biology; Disease; Medicine; Materials science; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006531918,0.00008245876,0.0001380504,0.0001093121,0.00002246163,0.000003852143,0.00005869456,0.00006545865,0.00005917678],"category_scores_gemma":[0.00001721287,0.0000795425,0.00006098935,0.0002084176,0.00004594035,0.0000458114,0.00001747009,0.00004616952,0.000003320525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001170276,"about_ca_system_score_gemma":0.000004305164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114367,"about_ca_topic_score_gemma":0.000004404106,"domain_scores_codex":[0.9994731,0.00001629944,0.0002111715,0.00008340233,0.00008482967,0.0001311984],"domain_scores_gemma":[0.9997519,0.00001558317,0.00004316473,0.0001214499,0.00003161842,0.0000363393],"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":[0.00001907621,0.00003913623,0.008543062,0.0001279239,0.0002000114,0.000004250028,0.0002004944,0.001864703,0.9634044,0.0000715012,0.00006273176,0.02546277],"study_design_scores_gemma":[0.000394937,0.00013546,0.04463308,0.0001196106,0.00007052618,0.00001124779,0.00006454442,0.0977662,0.8561261,0.0002645935,0.0002087006,0.0002050449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912504,0.0003038268,0.007429271,0.00000126296,0.0001329893,0.00004731098,0.000003849989,0.00004873777,0.000782349],"genre_scores_gemma":[0.9969582,0.0001299961,0.002862623,0.000005090853,0.00002083196,6.884379e-7,5.815069e-7,0.00001670877,0.000005309043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072783,"threshold_uncertainty_score":0.3243649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761813431273114,"score_gpt":0.228637096494915,"score_spread":0.1910189621821838,"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."}}