{"id":"W1979400348","doi":"10.1371/journal.pone.0048755","title":"Revealing the Hyperdiverse Mite Fauna of Subarctic Canada through DNA Barcoding","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Canada Research Chairs; Churchill Northern Studies Centre; Ontario Ministry of Economic Development and Innovation; Aboriginal Affairs and Northern Development Canada; Government of Canada; Ohio State University; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"DNA barcoding; Biology; Fauna; Biodiversity; Ecology; Barcode; Taxon; Zoology","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":[0.0002009338,0.0001463757,0.0001253424,0.0023752,0.001247046,0.0006251179,0.0003326579,0.000212061,0.0008039587],"category_scores_gemma":[0.0008145332,0.0001018408,0.00008457159,0.00193096,0.000452848,0.0002395463,0.0004243531,0.0002175071,0.0001431364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003277388,"about_ca_system_score_gemma":0.004907466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8504857,"about_ca_topic_score_gemma":0.9708679,"domain_scores_codex":[0.9997457,0.00001539554,0.000009890441,0.00004955177,0.0001178662,0.00006157632],"domain_scores_gemma":[0.9992077,0.00007854561,0.0001852503,0.0000291155,0.0003853216,0.0001141538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003991484,0.00003041468,0.9311207,0.0000747784,0.00002854283,0.0001816153,0.003896739,0.0002764405,0.03176205,0.000198448,0.0002906503,0.03209971],"study_design_scores_gemma":[0.000001522915,0.00002071282,0.9932026,0.00001998287,0.00001224267,0.0001447077,0.002437359,0.0005686913,0.001783699,0.00005402162,0.001745049,0.00000942813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975999,0.000220421,0.0004523828,0.00005588779,0.000001859109,0.00001966656,0.0006124213,0.000009287392,0.001028147],"genre_scores_gemma":[0.9953955,0.000407802,0.00263898,0.00005532712,0.000003102148,0.0000147303,0.000586444,0.000003711235,0.0008944608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495143,"threshold_uncertainty_score":0.3007895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0841419522100929,"score_gpt":0.1996396411635156,"score_spread":0.1154976889534227,"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."}}