{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000840887,0.00007759297,0.00007852857,0.00004363836,0.0001872815,0.00001107182,0.00005211836,0.00007184355,0.00007440749],"category_scores_gemma":[0.00001246664,0.00007480149,0.0000121087,0.00008228799,0.0002670806,0.0001581284,0.0001999273,0.0001192713,0.00004698894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005288447,"about_ca_system_score_gemma":0.000001213449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009329322,"about_ca_topic_score_gemma":0.001014854,"domain_scores_codex":[0.999391,0.00007241339,0.00009587005,0.0002739664,0.00003033359,0.0001363952],"domain_scores_gemma":[0.9998134,0.00006130704,0.00002476197,0.00006866194,0.000001474894,0.00003037311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004897669,0.000005914607,0.9740914,0.000005928284,0.00000598331,0.00002093697,0.000117477,0.00002128586,0.02465378,0.0001326015,0.00009682638,0.0007989674],"study_design_scores_gemma":[0.0001070954,0.00002078032,0.9979241,0.00001617892,0.000007477422,0.00002568375,0.000004382651,0.0001370065,0.00005083467,0.0003137384,0.001307942,0.00008479433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980897,0.0001440338,0.00007562726,0.001303572,0.00009678308,0.00008838394,0.00001239977,0.00002491742,0.0001646334],"genre_scores_gemma":[0.9987604,0.0001000789,0.0002032811,0.000798659,0.00001829862,0.000006751493,0.00001782288,0.000003004989,0.00009171631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02460294,"threshold_uncertainty_score":0.3050316,"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."}}