{"id":"W3094741969","doi":"10.3389/fvets.2020.584724","title":"When the Sum of the Parts Tells You More Than the Whole: The Advantage of Using Metagenomics to Characterize Bartonella spp. Infections in Norway Rats (Rattus norvegicus) and Their Fleas","year":2020,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Bartonella species infections research","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ministry of Agriculture; University of Saskatchewan; Ministry of Health","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Public Health Agency; Public Health Agency of Canada","keywords":"Bartonella; Biology; Flea; Metagenomics; Sanger sequencing; Population; Polymerase chain reaction; Microbiology; DNA sequencing; Zoology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001992321,0.0005474511,0.0006483788,0.001005251,0.0005542543,0.002380753,0.0003463348,0.0008801973,0.0004357634],"category_scores_gemma":[0.002714823,0.000393605,0.0004873677,0.000923437,0.0006561595,0.001934394,0.001074744,0.001098317,0.0002145747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550331,"about_ca_system_score_gemma":0.0004806975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574857,"about_ca_topic_score_gemma":0.005333293,"domain_scores_codex":[0.9991189,0.000264987,0.00007889612,0.0002181161,0.0002222683,0.00009699318],"domain_scores_gemma":[0.9986026,0.0004550703,0.0003154915,0.0002240682,0.0002648508,0.0001379671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009720151,0.0001990298,0.3851753,0.0005057932,0.001229781,0.001124146,0.003904624,0.001040224,0.5210075,0.0009515539,0.001374196,0.08251591],"study_design_scores_gemma":[0.00004355265,0.001279017,0.8598208,0.0006003921,0.001796813,0.003603703,0.009969292,0.007247242,0.0885667,0.007381052,0.01948725,0.0002040796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810985,0.004580307,0.008378368,0.002733772,0.0001418609,0.00007593611,0.001080874,0.0001099944,0.001800345],"genre_scores_gemma":[0.9743403,0.002765703,0.01948419,0.001565604,0.0001029872,0.00004803768,0.0009185778,0.00005737866,0.0007172702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002380753,"threshold_uncertainty_score":0.01053649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552407821217016,"score_gpt":0.2735917085553318,"score_spread":0.2380676303431616,"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."}}