{"id":"W4385564642","doi":"10.7589/jwd-d-22-00120","title":"SPECIES IN THE FECES: DNA METABARCODING TO DETECT POTENTIAL GASTROPOD HOSTS OF PARELAPHOSTRONGYLUS TENUIS CONSUMED BY MOOSE (ALCES ALCES)","year":2023,"lang":"en","type":"article","venue":"Journal of Wildlife Diseases","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Legislative-Citizen Commission on Minnesota Resources; Minnesota Environment and Natural Resources Trust Fund; University of Minnesota","keywords":"Biology; Wildlife; Feces; Host (biology); Threatened species; Ecology; Zoology; Population; Wildlife disease; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453508,0.0003004447,0.0001925937,0.001715686,0.0003523551,0.0004629876,0.0002853307,0.0003609202,0.0005116635],"category_scores_gemma":[0.0007971833,0.0001323761,0.0003036964,0.001315087,0.0001720412,0.0001704346,0.0003514348,0.0002584668,0.0002313566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022351,"about_ca_system_score_gemma":0.0004031449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009085364,"about_ca_topic_score_gemma":0.02195659,"domain_scores_codex":[0.9996912,0.00003470628,0.00003029611,0.000132355,0.00008079409,0.00003066376],"domain_scores_gemma":[0.9994897,0.00005767052,0.0002467587,0.00002397864,0.0001465512,0.00003530654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002920126,0.0001138509,0.5161968,0.0003945884,0.0002275107,0.0004679166,0.001521211,0.0005408138,0.4279961,0.0002218127,0.0005796391,0.05144769],"study_design_scores_gemma":[0.0000111555,0.0002723105,0.9468408,0.00007957488,0.0001779769,0.001184689,0.001266943,0.003722862,0.03874559,0.0001461991,0.007529194,0.00002271811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870785,0.0006692637,0.006510938,0.0001107723,0.00001125765,0.000100653,0.004179158,0.0001157035,0.001223604],"genre_scores_gemma":[0.9429677,0.0005279617,0.04748957,0.0001855207,0.00001067147,0.0001482684,0.006930435,0.00003812514,0.001701624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009085364,"threshold_uncertainty_score":0.01806498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113327544375741,"score_gpt":0.2229431228805009,"score_spread":0.2116103684429268,"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."}}