{"id":"W4293168364","doi":"10.1002/ajpa.24604","title":"Using phylogeographic link‐prediction in primates to prioritize human parasite screening","year":2022,"lang":"en","type":"article","venue":"American Journal of Biological Anthropology","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fogarty International Center; Triangle Comparative and Evolutionary Medicine Center, Duke University; North Carolina Central University; North Carolina State University; National Institute of Food and Agriculture; National Institutes of Health; National Science Foundation","keywords":"Biology; Phylogenetic tree; Generalist and specialist species; Phylogeography; Evolutionary biology; Infectious disease (medical specialty); Phylogenetics; Transmission (telecommunications); Host (biology); Disease; Emerging infectious disease; Zoology; Ecology; Habitat; Outbreak; Virology; Genetics; Medicine; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007239833,0.0001262316,0.0006169925,0.0004209421,0.0002428456,0.000008189224,0.0001471171,0.00004741032,0.001201787],"category_scores_gemma":[0.0001555794,0.00009502671,0.0001556652,0.0007456251,0.0007360631,0.00003556834,0.0001083508,0.0005130096,0.00000181132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073434,"about_ca_system_score_gemma":0.0001439365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006338247,"about_ca_topic_score_gemma":0.000009425483,"domain_scores_codex":[0.9981434,0.0004072527,0.0006260736,0.0002144451,0.0002115523,0.0003972125],"domain_scores_gemma":[0.9989749,0.0001208286,0.0003587274,0.0001227418,0.00009177475,0.000331073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007043812,0.0004148198,0.9018807,0.00001247464,0.00006753264,0.0003615976,0.0002210784,0.0002751872,0.004596549,0.0004512164,0.00008536692,0.09092909],"study_design_scores_gemma":[0.001523461,0.02026634,0.9601079,0.00006425087,0.00006678284,0.001881323,0.008621653,0.0003162891,0.00003673321,0.0005581681,0.00637673,0.0001803213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990307,0.0002840754,0.001936954,0.006877853,0.0002246214,0.0001659029,0.00002365424,0.00001858553,0.0001613822],"genre_scores_gemma":[0.9922733,0.000100792,0.004795198,0.002486621,0.0003097066,0.000005458232,0.00001292007,0.00000974464,0.00000627213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09074876,"threshold_uncertainty_score":0.9997113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672799960899819,"score_gpt":0.3916660063891209,"score_spread":0.3243860102991389,"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."}}