{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191963,0.0001756082,0.0002055542,0.0006242793,0.0003369925,0.00053636,0.0001333906,0.0002414905,0.0006978409],"category_scores_gemma":[0.0004339015,0.000126004,0.0001135421,0.0003347186,0.0002835217,0.0002703974,0.0003845158,0.0002044623,0.0001404091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725818,"about_ca_system_score_gemma":0.0001418526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002691221,"about_ca_topic_score_gemma":0.00745801,"domain_scores_codex":[0.9997795,0.00003476165,0.0000101894,0.00008714028,0.00003207339,0.00005642163],"domain_scores_gemma":[0.9997498,0.00003246996,0.00009093045,0.00001304313,0.00004207929,0.00007162122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004585653,0.0001531064,0.927816,0.00002559714,0.00009664315,0.0000638279,0.0008578856,0.0001358084,0.06220346,0.00007533427,0.0001486622,0.007965195],"study_design_scores_gemma":[0.000001849386,0.00009262787,0.9982174,0.000003088888,0.00001457508,0.00009856444,0.0006170578,0.0002318557,0.0005597203,0.00002971525,0.0001305109,0.000003020352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996939,0.0000706128,0.00004241932,0.000005847274,0.0000014937,0.000001535874,0.00008501899,9.321537e-7,0.00009831142],"genre_scores_gemma":[0.9995168,0.00005235257,0.00008523122,0.0000100211,0.000003619117,0.000003323094,0.0001440507,9.194473e-7,0.0001837309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002691221,"threshold_uncertainty_score":0.005351067,"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."}}