{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009605612,0.00009422447,0.0001527995,0.000036704,0.0001219385,0.0000145561,0.0002697592,0.0001038564,0.002443524],"category_scores_gemma":[0.00005176833,0.00004534428,0.00005066479,0.0002466036,0.00004548598,0.00003812835,0.0001953131,0.00008867547,0.0003690283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035634,"about_ca_system_score_gemma":0.00001728649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1606521,"about_ca_topic_score_gemma":0.8494915,"domain_scores_codex":[0.9990717,0.00008352996,0.00009730279,0.000250373,0.00008699286,0.0004101099],"domain_scores_gemma":[0.9996861,0.00008601949,0.00002498699,0.00005519975,0.00002733153,0.0001204069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005807103,0.00002918034,0.8429009,0.000001032054,0.000007608402,0.000060506,0.0001210328,0.000004486445,0.1554138,0.0003905128,0.0002822416,0.0007829156],"study_design_scores_gemma":[0.0001493567,0.0001452987,0.9888095,0.000002185285,0.000002987812,0.00000303824,0.0003987016,0.00001568665,0.0032584,0.0002418417,0.006854221,0.0001187854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897781,0.00007657513,8.468641e-8,0.001638601,0.0001214403,0.0001968057,0.00001073361,0.00002495913,0.008152724],"genre_scores_gemma":[0.998642,0.000005357748,0.00002742689,0.0009263462,0.00002197205,0.000005309758,0.00002080391,6.559059e-7,0.000350089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6888394,"threshold_uncertainty_score":0.9984684,"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."}}