{"id":"W1985632516","doi":"10.3791/3344","title":"Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute; University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Health Canada; National Research Council Canada; Public Health Agency of Canada; University of Saskatchewan","keywords":"Bacterial vaginosis; Gardnerella vaginalis; Multiplex; Biology; Gram staining; Lactobacillus; Oligonucleotide; Computational biology; Bifidobacterium; Metagenomics; DNA sequencing; Microbiology; Bioinformatics; Bacteria; Genetics; Gene","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":[0.0006781819,0.0001492992,0.0004716073,0.0002040442,0.00007659166,0.00001030546,0.0001390651,0.0001460919,0.0007833701],"category_scores_gemma":[0.0001459155,0.0001315565,0.0001308639,0.00008844462,0.0004865241,0.0001871307,0.00009802335,0.0003001277,0.00001098706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008789749,"about_ca_system_score_gemma":0.00003628664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004699081,"about_ca_topic_score_gemma":0.0000116589,"domain_scores_codex":[0.9980065,0.0004917748,0.0009829054,0.0002137416,0.00007591066,0.0002291935],"domain_scores_gemma":[0.9991283,0.00009253944,0.0004996039,0.0001737519,0.0000634348,0.00004234831],"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":[0.001566459,0.001139896,0.1409021,0.000009605147,0.0002029433,0.000005702339,0.0008982983,0.000001738127,0.8537309,0.000004575312,0.000009561773,0.001528166],"study_design_scores_gemma":[0.002701538,0.0003866079,0.3774045,0.00002630887,0.00001748353,0.0001127667,0.0006594309,0.00003625745,0.6184166,0.00001186671,0.0001541115,0.00007252955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978458,0.001141517,0.0003704593,0.000002915049,0.0003878404,0.0002212692,0.00000855779,0.000005732441,0.00001590857],"genre_scores_gemma":[0.9966316,0.0002775223,0.003008009,0.000008530024,0.00003472423,0.000002940249,0.00000660555,0.00001802632,0.00001200085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2365024,"threshold_uncertainty_score":0.8577353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366943139687543,"score_gpt":0.4412777617101153,"score_spread":0.304583447741361,"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."}}