{"id":"W3214431098","doi":"10.1093/jas/skab341","title":"Comparison between methods for measuring fecal egg count and estimating genetic parameters for gastrointestinal parasite resistance traits in sheep","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Helminth infection and control","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Kuwait Institute for Scientific Research; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Heritability; Feces; Biology; Trait; Eggs per gram; Statistics; Parasite hosting; Veterinary medicine; Animal science; Genetics; Mathematics; Ecology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008555471,0.0005800527,0.0005179286,0.001614254,0.0003301014,0.0008972372,0.0008024861,0.0007198073,0.0002821855],"category_scores_gemma":[0.01420925,0.0004794311,0.0006176441,0.001085417,0.0005431815,0.0004149626,0.0005967293,0.0005253589,0.0001484494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523667,"about_ca_system_score_gemma":0.0006367223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02759126,"about_ca_topic_score_gemma":0.08089858,"domain_scores_codex":[0.9877059,0.005533409,0.0008117002,0.001577003,0.004080917,0.0002910863],"domain_scores_gemma":[0.9885839,0.005979201,0.00189721,0.001099463,0.002218235,0.0002219294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002273039,0.0003759947,0.8147898,0.0003557361,0.001551369,0.0001237612,0.00167245,0.002636483,0.08768843,0.000215233,0.0002508594,0.08806678],"study_design_scores_gemma":[0.00004445819,0.001403302,0.9853008,0.00003112532,0.0001944196,0.0001239781,0.0002101337,0.005592536,0.00651673,0.0000574082,0.0004770898,0.00004785664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843346,0.000570383,0.01401349,0.00003970351,0.00001268871,0.0001031652,0.0002438994,0.00003455787,0.0006474539],"genre_scores_gemma":[0.9548952,0.0005247847,0.04240509,0.00007787533,0.00001388853,0.0002801351,0.0008421845,0.00005981875,0.0009009869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759126,"threshold_uncertainty_score":0.05486131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586651984926184,"score_gpt":0.4478515733904877,"score_spread":0.2891863748978693,"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."}}