{"id":"W2987993979","doi":"10.1111/mec.15292","title":"DNA barcodes expose unexpected diversity in Canadian mites","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Biology; Species richness; Ecology; Biological dispersal; Mesostigmata; Mite; Acari; Biodiversity; Habitat; Fauna; Species diversity; Parasitiformes; DNA barcoding; Ixodidae; Population","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":[0.0004022442,0.0001790201,0.0001980021,0.002616,0.001820775,0.0007157619,0.0004289888,0.0003225072,0.0009007315],"category_scores_gemma":[0.001733257,0.0002062049,0.0001716036,0.003523706,0.0006385,0.0002400356,0.0005760778,0.0003392835,0.0001437885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006342779,"about_ca_system_score_gemma":0.005563901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9126343,"about_ca_topic_score_gemma":0.9777027,"domain_scores_codex":[0.9990746,0.00004013693,0.00002115673,0.0001700326,0.0005038985,0.0001901792],"domain_scores_gemma":[0.998346,0.0001322437,0.0003122702,0.00007119698,0.0009752424,0.0001631289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001700749,0.00003747191,0.86736,0.0001516226,0.000128243,0.0002624398,0.005142894,0.0006678654,0.0513516,0.001010328,0.002222747,0.07149475],"study_design_scores_gemma":[0.000002004158,0.00001624036,0.9920557,0.00001789577,0.00001723957,0.0001291935,0.001032597,0.0004673615,0.001716337,0.00007726807,0.004456603,0.00001152227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926368,0.000448081,0.001096877,0.0001752018,0.000009678272,0.00002497063,0.002125664,0.00003089077,0.003451877],"genre_scores_gemma":[0.9950654,0.0003304807,0.002020562,0.0001447835,0.000004582575,0.00001355945,0.001320816,0.00001094609,0.001088791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08736569,"threshold_uncertainty_score":0.1757603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031064873316107,"score_gpt":0.1839189619225375,"score_spread":0.1736083131893764,"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."}}