{"id":"W1997408507","doi":"10.1007/s00442-011-2018-9","title":"Population density and phenotypic attributes influence the level of nematode parasitism in roe deer","year":2011,"lang":"en","type":"article","venue":"Oecologia","topic":"Helminth infection and control","field":"Veterinary","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Biology; Capreolus; Roe deer; Trichuris; Parasitism; Population density; Infestation; Population; Ecology; Zoology; Density dependence; Host (biology); Helminths; Veterinary medicine; Demography; Agronomy","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":[0.000435279,0.0001352931,0.0001678889,0.0004012823,0.0001871141,0.0004493439,0.0001554563,0.0002459989,0.001135905],"category_scores_gemma":[0.001581974,0.0002217861,0.0001235043,0.0001945531,0.0003846689,0.0002909933,0.0002051772,0.0002501293,0.0001942107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305503,"about_ca_system_score_gemma":0.00009577526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459603,"about_ca_topic_score_gemma":0.004066762,"domain_scores_codex":[0.9997756,0.0001063152,0.00001350916,0.00004193959,0.00002158713,0.00004116317],"domain_scores_gemma":[0.998897,0.0004401967,0.0002998007,0.00007064484,0.00007465027,0.0002177218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000380851,0.0001749644,0.9825544,0.000008774849,0.00005410853,0.0001701887,0.0001912118,0.0001247785,0.01429649,0.00004165224,0.00005352712,0.001949196],"study_design_scores_gemma":[0.000002082865,0.0001233951,0.9990889,0.000001239698,0.000006833427,0.000191209,0.0001618085,0.0001684465,0.0001978911,0.00002635738,0.00002962177,0.000002175754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998505,0.00001786129,0.00001639209,0.000004972253,3.73657e-7,7.014908e-7,0.00001041094,5.017542e-7,0.00009817794],"genre_scores_gemma":[0.999792,0.00001306065,0.00002881631,0.000006681128,0.00000106519,0.000001231862,0.00002058484,8.698005e-7,0.0001357048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459603,"threshold_uncertainty_score":0.003800035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330035816051906,"score_gpt":0.3220487055058854,"score_spread":0.1890451239006948,"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."}}