{"id":"W2036456050","doi":"10.1016/j.ijpara.2011.03.007","title":"DNA barcoding identifies Eimeria species and contributes to the phylogenetics of coccidian parasites (Eimeriorina, Apicomplexa, Alveolata)","year":2011,"lang":"en","type":"article","venue":"International Journal for Parasitology","topic":"Coccidia and coccidiosis research","field":"Agricultural and Biological Sciences","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Genome Canada","keywords":"Biology; Apicomplexa; Eimeria; DNA barcoding; Zoology; Phylogenetics; Protozoa; Coccidia; Parasite hosting; Evolutionary biology; Eimeriidae; Virology; Genetics; Gene; Protozoal disease; Immunology; Malaria","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":[0.0005147591,0.0002814447,0.0002938885,0.002010921,0.0005996819,0.0008886229,0.0003631027,0.0006290271,0.001332124],"category_scores_gemma":[0.002549792,0.0003145729,0.0002354279,0.001189371,0.000457032,0.0007446759,0.0004740651,0.0007264294,0.0006542247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004335571,"about_ca_system_score_gemma":0.0003833764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765033,"about_ca_topic_score_gemma":0.006714706,"domain_scores_codex":[0.999541,0.00005507884,0.0000284974,0.0001953482,0.0001011913,0.00007892087],"domain_scores_gemma":[0.9980291,0.0005816221,0.0005810299,0.0001847169,0.0004943205,0.0001291715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000299786,0.00008809927,0.1114616,0.0002869956,0.00007951685,0.0001530785,0.001293396,0.0004160541,0.8062594,0.001562355,0.0006191625,0.07748058],"study_design_scores_gemma":[0.00002914685,0.0002885786,0.7848088,0.0002826431,0.000332601,0.001144417,0.001485231,0.01218102,0.1680878,0.003785934,0.02750948,0.0000643672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765569,0.001798492,0.01658596,0.000343745,0.00009382448,0.00003272656,0.001603147,0.0001635061,0.002821717],"genre_scores_gemma":[0.9817635,0.000633131,0.01364273,0.0003158466,0.00006034364,0.00002011632,0.001970792,0.00004746936,0.001545896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002765033,"threshold_uncertainty_score":0.005497932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250653933235848,"score_gpt":0.3306972309781707,"score_spread":0.2581906916458122,"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."}}