{"id":"W2006832748","doi":"10.1007/s00442-015-3319-1","title":"Host density drives macroparasite abundance across populations of a critically endangered megaherbivore","year":2015,"lang":"en","type":"article","venue":"Oecologia","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Nelson Mandela University; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Victoria University of Wellington; Nelson Mandela Metropolitan University; Innovative Research Group Project of the National Natural Science Foundation of China; University of Victoria","keywords":"Biology; Abundance (ecology); Ecology; Range (aeronautics); Host (biology); Population; Parasite hosting; Population density; Parasitism; Density dependence; Zoology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001903128,0.00009119741,0.0001778006,0.0004967708,0.0004081921,0.000471153,0.0002488875,0.0002837332,0.001933409],"category_scores_gemma":[0.0009027266,0.0002107775,0.0001032681,0.0001960826,0.0005061696,0.0002906836,0.0004044458,0.000264471,0.0001503184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212877,"about_ca_system_score_gemma":0.0001494135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005725345,"about_ca_topic_score_gemma":0.0201551,"domain_scores_codex":[0.999877,0.00003792051,0.00000433731,0.00003777962,0.00001232105,0.00003076055],"domain_scores_gemma":[0.9993955,0.0002052082,0.0001535584,0.00004512668,0.00005479797,0.0001458358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003615209,0.0001325199,0.9013373,0.00002395836,0.00008444755,0.0001238921,0.001077393,0.0003208668,0.09178523,0.0002508147,0.0002007184,0.0043014],"study_design_scores_gemma":[0.000002965742,0.00006795189,0.9981237,0.000001751673,0.00001497126,0.00006029207,0.0004819175,0.000564427,0.0005465038,0.00005632276,0.00007647165,0.0000027043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998814,0.000006416934,0.00001618441,0.00000611188,2.756231e-7,4.197508e-7,0.000009111001,7.773326e-7,0.0000794029],"genre_scores_gemma":[0.9998721,0.000005349701,0.00002977967,0.000007775237,4.826306e-7,0.000001115075,0.00001474423,0.000001069444,0.00006755954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005725345,"threshold_uncertainty_score":0.01138407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985943094058503,"score_gpt":0.3727567021315126,"score_spread":0.3328972711909275,"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."}}