{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295999,0.0001190105,0.0002161714,0.00005468065,0.0002643735,0.0001072675,0.0006589911,0.00006112565,0.0003022567],"category_scores_gemma":[0.0002178959,0.00004968184,0.0001209021,0.0001236047,0.0001592948,0.00007610633,0.0001421271,0.0001214701,0.00001346115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881611,"about_ca_system_score_gemma":0.00001595879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001218633,"about_ca_topic_score_gemma":0.0007797731,"domain_scores_codex":[0.9989036,0.00009150564,0.0003276125,0.0001853464,0.0002222769,0.0002696513],"domain_scores_gemma":[0.9988251,0.0004849373,0.0001439374,0.00005595146,0.0003918113,0.00009829478],"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":[0.000367642,0.0000738317,0.3839429,0.000003837243,0.0003069387,0.0000133379,0.0004183597,0.000002618511,0.5814649,0.00534902,0.00221767,0.02583898],"study_design_scores_gemma":[0.0002260947,0.0003052219,0.8747187,0.00001920203,0.00002600031,0.0001260065,0.0004865902,0.00002290923,0.08652892,0.003686897,0.03374792,0.0001055421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937562,0.0008364238,0.0001848537,0.003626991,0.0009864185,0.0002032638,0.00007480385,0.000008421603,0.0003226072],"genre_scores_gemma":[0.9987289,0.0002961801,0.0001949942,0.0001954586,0.0003894831,0.0000224331,0.00001372141,0.000001543712,0.0001572709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.494936,"threshold_uncertainty_score":0.3309499,"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."}}