{"id":"W2048349047","doi":"10.1111/1365-2664.12401","title":"Assessing individual patterns of<i><scp>E</scp>chinococcus multilocularis</i>infection in urban coyotes: non‐invasive genetic sampling as an epidemiological tool","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Parasitic infections in humans and animals","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bio-Systems (Canada); Canadian Science Centre for Human and Animal Health; University of Calgary","funders":"Canadian Institutes of Health Research; TD Friends of the Environment Foundation","keywords":"Genotyping; Biology; Feces; Veterinary medicine; Echinococcus multilocularis; Genotype; Parasite hosting; Canis; Microsatellite; Zoonosis; Intestinal parasite; Zoology; Ecology; Helminths; Virology; Allele; Genetics; Medicine; Echinococcosis","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":[0.002021407,0.000219566,0.000931423,0.0004402272,0.00008662721,0.0000363667,0.0001382875,0.0003718528,0.00003871103],"category_scores_gemma":[0.001746463,0.0001814847,0.0001717673,0.0001808471,0.0001147628,0.0001777045,0.00005763633,0.0007636258,0.00001495301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133022,"about_ca_system_score_gemma":0.000403434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009079684,"about_ca_topic_score_gemma":0.00006985864,"domain_scores_codex":[0.9977401,0.0001931547,0.001152214,0.0002643863,0.0002561675,0.0003940152],"domain_scores_gemma":[0.9974426,0.001043406,0.0008251566,0.0001912527,0.0002729993,0.0002245861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008860139,0.0007122608,0.9813269,0.00005899248,0.0001535082,0.0001689623,0.001240003,0.005221382,0.008419115,0.000345635,0.0001553357,0.002109307],"study_design_scores_gemma":[0.002733138,0.002014451,0.9871489,0.0001055197,0.0002146421,0.0008033466,0.001153485,0.0004292312,0.002913629,0.002083959,0.0003088418,0.00009088364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904966,0.00005403395,0.007485155,0.00003010635,0.0003899946,0.0003456911,0.000004399269,0.00001633721,0.001177713],"genre_scores_gemma":[0.9902607,0.000069854,0.00859277,0.0004462544,0.0005693416,0.00001873394,0.00001151504,0.00002164003,0.000009255481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005821974,"threshold_uncertainty_score":0.7400732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08039198026069003,"score_gpt":0.3659189860585128,"score_spread":0.2855270057978228,"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."}}