{"id":"W2039442564","doi":"10.1016/j.vetpar.2011.04.024","title":"Trypanosome genetics: Populations, phenotypes and diversity","year":2011,"lang":"en","type":"article","venue":"Veterinary Parasitology","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Wellcome Trust","keywords":"Biology; Evolutionary biology; Phenotype; Diversity (politics); Genetics; Genetic diversity; Genealogy; Computational biology; Demography; Population; Anthropology; Gene; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000008715153,0.00008857783,0.0001631116,0.0001043724,0.0002131254,0.000005526592,0.00008695413,0.00007876551,0.0003887874],"category_scores_gemma":[0.00002800962,0.00008277419,0.00003455544,0.00009406447,0.0001841152,0.00005986434,0.0002441721,0.0001029179,0.0001113832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965409,"about_ca_system_score_gemma":0.00002352076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103591,"about_ca_topic_score_gemma":0.00001255126,"domain_scores_codex":[0.999312,0.00004155454,0.0001214992,0.0002127144,0.00008838721,0.0002238301],"domain_scores_gemma":[0.9994808,0.000020481,0.0000294187,0.0002607793,0.00004370893,0.0001647519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004266968,0.0002101103,0.9301986,0.00003974677,0.0000615523,0.0001833348,0.0005729343,1.315791e-7,0.05121854,0.00389128,0.001018425,0.01217868],"study_design_scores_gemma":[0.0004353386,0.001046447,0.9909729,0.000004936329,0.00002916503,0.0009394407,0.00006003816,0.00002324547,0.0003409182,0.0009329041,0.005136653,0.00007800528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915119,0.0005622131,0.0001832679,0.0003612456,0.00009893828,0.0001862323,0.00001209202,0.0000554294,0.007028662],"genre_scores_gemma":[0.9935076,0.0001439431,0.005787152,0.000166646,0.00006063683,0.00001394889,0.0000173429,0.000008529036,0.0002942359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06077434,"threshold_uncertainty_score":0.4256949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077392162116189,"score_gpt":0.3826810803853891,"score_spread":0.1749418641737703,"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."}}