{"id":"W3158007728","doi":"10.1016/j.vetpar.2021.109443","title":"Exploiting digital droplet PCR and Next Generation Sequencing technologies to determine the relative abundance of individual Eimeria species in a DNA sample","year":2021,"lang":"en","type":"article","venue":"Veterinary Parasitology","topic":"Coccidia and coccidiosis research","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Biology; Eimeria; Amplicon; Digital polymerase chain reaction; Computational biology; DNA sequencing; Mitochondrial DNA; Identification (biology); Polymerase chain reaction; Genetics; Gene; Ecology","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":[0.0001348649,0.0001038713,0.0001945861,0.00002860135,0.0001361722,0.00009402647,0.0002076755,0.00007856108,0.00004256528],"category_scores_gemma":[0.0004273552,0.00004642469,0.00003507432,0.0004073631,0.000147462,0.0002171004,0.0003333406,0.0001251651,0.000003906241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483329,"about_ca_system_score_gemma":0.00001813945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008320902,"about_ca_topic_score_gemma":0.000408863,"domain_scores_codex":[0.9990256,0.0001119238,0.0002133969,0.0002787522,0.0001283247,0.0002419688],"domain_scores_gemma":[0.9991649,0.0006215414,0.00005965046,0.00007785123,0.00004778132,0.00002824637],"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":[0.00002757672,0.00001858325,0.03518599,0.000004411114,0.00001004799,0.00005800712,0.0006555038,0.000002669209,0.8875709,0.0001879797,0.00001551921,0.07626283],"study_design_scores_gemma":[0.0003783409,0.00283703,0.7650875,0.0001015992,0.00001807778,0.0008031249,0.01456159,0.000640029,0.2047508,0.001976701,0.008363375,0.0004818412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969389,0.0004010258,0.00003088137,0.002275213,0.00005150866,0.0001354351,0.00003935191,0.00002825615,0.00009939731],"genre_scores_gemma":[0.9993393,0.0001001361,0.0003496629,0.00005802364,0.00005597314,0.00004045735,0.0000340953,0.000001051038,0.00002131931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7299015,"threshold_uncertainty_score":0.1893144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1768846569306377,"score_gpt":0.3111118776555557,"score_spread":0.134227220724918,"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."}}