{"id":"W4403012741","doi":"10.1098/rsbl.2024.0302","title":"Host genetic diversity and body condition influence parasite resistance and clearance in a wild marine mammal population","year":2024,"lang":"en","type":"article","venue":"Biology Letters","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universidad Austral de Chile; Society for Marine Mammalogy; Agencia Nacional de Investigación y Desarrollo; Morris Animal Foundation","keywords":"Biology; Loss of heterozygosity; Immune system; Clearance; Immunology; Population; Parasite hosting; Zoology; Genetics; Gene; Allele; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000409742,0.0001449194,0.0002221663,0.0004667731,0.0002768885,0.00035295,0.0002042458,0.0002473048,0.001013359],"category_scores_gemma":[0.0008949767,0.0001509518,0.0001350108,0.0001839308,0.0006332195,0.0002468369,0.0003476615,0.0002247776,0.0001224661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507224,"about_ca_system_score_gemma":0.0001525859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002871474,"about_ca_topic_score_gemma":0.006226283,"domain_scores_codex":[0.999692,0.0001306668,0.0000137623,0.00009010471,0.00003683617,0.00003678257],"domain_scores_gemma":[0.9994496,0.0001708767,0.0001621852,0.00005242954,0.00003556184,0.0001294793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749255,0.0001008769,0.9649857,0.000009728558,0.0001101503,0.0002493761,0.0004757624,0.0001663901,0.03030202,0.00006366885,0.00004797048,0.00331342],"study_design_scores_gemma":[0.000001719383,0.0001011056,0.999124,0.000001465089,0.00001374991,0.0001033574,0.0001349026,0.0003130337,0.000146341,0.000024651,0.00003290418,0.000002740842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998697,0.00001586341,0.00003042388,0.000004279583,3.389074e-7,6.568513e-7,0.000009200568,9.108283e-7,0.00006867953],"genre_scores_gemma":[0.9998487,0.00001458141,0.00005548556,0.000006961145,0.000001576694,0.000001743833,0.00001695492,0.000001119921,0.0000528229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002871474,"threshold_uncertainty_score":0.005709469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006531415366599204,"score_gpt":0.2681168370117045,"score_spread":0.2615854216451053,"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."}}