{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006986512,0.0004448452,0.0006815431,0.0004257779,0.0004784531,0.0001173601,0.0005623778,0.0002686279,0.0008639876],"category_scores_gemma":[0.0007784527,0.0003392028,0.0003680383,0.000505972,0.0003326349,0.0003772445,0.0002169517,0.0004917845,0.0001758415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615893,"about_ca_system_score_gemma":0.0003225743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000797929,"about_ca_topic_score_gemma":0.00003952364,"domain_scores_codex":[0.9967049,0.0007529498,0.001165294,0.0003936954,0.0002436727,0.000739522],"domain_scores_gemma":[0.9977584,0.0002292938,0.0009416813,0.0004886494,0.0004024865,0.0001794912],"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":[0.001949677,0.000907713,0.008837407,0.00002304598,0.0004944602,0.0001397913,0.00304605,0.00004339244,0.9825194,0.00005258341,0.0008349128,0.001151499],"study_design_scores_gemma":[0.0216258,0.002728964,0.1183522,0.001349494,0.001065662,0.001584859,0.00474586,0.000842698,0.830545,0.0004165358,0.01500981,0.00173315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887207,0.007740501,0.0004634702,0.00005312727,0.002430475,0.0003710589,0.00001210586,0.00006446193,0.000144079],"genre_scores_gemma":[0.9986224,0.00006442885,0.0001493133,0.0004522634,0.000443774,0.00002055505,0.00000898886,0.0000718056,0.0001664904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1519745,"threshold_uncertainty_score":0.999906,"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."}}