{"id":"W2787535448","doi":"10.3791/56471","title":"Detecting the Lyme Disease Spirochete, &lt;em&gt;Borrelia Burgdorferi&lt;/em&gt;, in Ticks Using Nested PCR","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Borrelia burgdorferi; Lyme disease; Nested polymerase chain reaction; Biology; Borrelia; Tick; Polymerase chain reaction; Virology; Flagellin; Spirochaetaceae; Amplicon; Microbiology; Vector (molecular biology); Gene; Genetics; Antibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009268819,0.0005995878,0.0003862399,0.0008812589,0.0001655124,0.0004746301,0.0004622366,0.000534282,0.0005024651],"category_scores_gemma":[0.00185574,0.0005440784,0.0003430028,0.0003136419,0.0005031814,0.0003856675,0.0003237971,0.0003508601,0.0005340722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000262535,"about_ca_system_score_gemma":0.0002378733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008207732,"about_ca_topic_score_gemma":0.002168464,"domain_scores_codex":[0.9987853,0.0002340441,0.0001508118,0.0003672668,0.0003601187,0.0001023805],"domain_scores_gemma":[0.9991829,0.0002629126,0.0002326774,0.00005117674,0.000219809,0.00005062047],"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":[0.00009444917,0.00007470625,0.01509912,0.0001802067,0.00002012391,0.0002930606,0.0003785416,0.0001745288,0.9689289,0.0001110788,0.0001293026,0.01451595],"study_design_scores_gemma":[0.0000762233,0.001613562,0.07067619,0.0003849289,0.0002889455,0.005743955,0.0006563215,0.01600355,0.8888602,0.0004854856,0.01514514,0.00006558663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8890647,0.004045844,0.1003834,0.0001732101,0.00009981636,0.0005545996,0.0004960443,0.0007218564,0.004460451],"genre_scores_gemma":[0.813241,0.003123898,0.1800812,0.0002741787,0.00003208291,0.0003196224,0.0009460066,0.00006406082,0.001917985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009268819,"threshold_uncertainty_score":0.004901886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787090973654226,"score_gpt":0.3586737425708029,"score_spread":0.3308028328342607,"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."}}