{"id":"W3047185098","doi":"10.1016/j.ttbdis.2020.101535","title":"Within-population diversity of bacterial microbiomes in winter ticks (Dermacentor albipictus)","year":2020,"lang":"en","type":"article","venue":"Ticks and Tick-borne Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Biology; Microbiome; Tick; Species evenness; Ecology; Zoology; Firmicutes; Population; Species richness; 16S ribosomal RNA; Genetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005317383,0.0002437768,0.0004247434,0.0001178076,0.0001400319,0.0000269914,0.0001707631,0.0001364629,0.001382437],"category_scores_gemma":[0.0002050757,0.0002280226,0.0001217557,0.0001741536,0.0002431231,0.0001884819,0.0003278338,0.0001358479,0.00009215161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935032,"about_ca_system_score_gemma":0.00005826399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759993,"about_ca_topic_score_gemma":0.00009912225,"domain_scores_codex":[0.9987187,0.0001425492,0.0003833634,0.000401019,0.00004924572,0.0003051299],"domain_scores_gemma":[0.9993513,0.000104161,0.0001676324,0.0001927017,0.00007281509,0.0001114003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001496707,0.0007203119,0.9156331,0.000289541,0.0003858583,0.00002898191,0.002329543,0.00002646258,0.07428157,0.0005923039,0.002373424,0.001842166],"study_design_scores_gemma":[0.003415216,0.0002935412,0.9852159,0.00008364025,0.0004077378,0.0000147764,0.0003945529,0.00003735388,0.00781283,0.0001572861,0.001791335,0.0003758145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966,0.001791258,0.00001916065,0.0002655353,0.000413389,0.0002993619,0.0004099165,0.00008291584,0.0001184395],"genre_scores_gemma":[0.9990443,0.00004916844,0.00001310446,0.0003049557,0.00007220468,0.000007991396,0.0003981114,0.00002006851,0.00009012364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06958278,"threshold_uncertainty_score":0.9995304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126707625073613,"score_gpt":0.2233058080604685,"score_spread":0.2120387318097324,"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."}}