{"id":"W4396611179","doi":"10.1002/wlb3.01205","title":"Variation in prevalence and intensity of macroparasites in moose and their interactions with winter tick load in eastern Canada","year":2024,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ministère des Ressources naturelles et des Forêts; Université de Montréal; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval; Université de Montréal; Ministère des Forêts, de la Faune et des Parcs; Parks Canada; Mitacs","keywords":"Tick; Variation (astronomy); Ecology; Geography; Biology; Zoology; Veterinary medicine; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166895,0.0001181561,0.0002266118,0.000157699,0.00001438331,0.0000063837,0.00005359199,0.00008887557,0.00003917537],"category_scores_gemma":[0.0000929447,0.00009027283,0.00001197254,0.0001385778,0.0001731048,0.00007208421,0.00005744062,0.0002088793,0.000004086023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246833,"about_ca_system_score_gemma":0.0002032784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1397025,"about_ca_topic_score_gemma":0.6649501,"domain_scores_codex":[0.9991816,0.0001544804,0.0002187036,0.0002658963,0.0000110789,0.0001681885],"domain_scores_gemma":[0.9995807,0.0002257841,0.00004451686,0.00009934364,0.00003526124,0.00001433075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993829,0.00005931692,0.9776755,0.00006853932,0.0000480489,0.00001406602,0.0008790782,0.000007619305,0.02015366,0.000125984,0.00006937878,0.0006994277],"study_design_scores_gemma":[0.0005164584,0.0001473439,0.9969525,0.0002386609,0.00001205205,0.0001255896,0.0001431642,0.0001333943,0.0005817693,0.0001341999,0.0009132086,0.0001016974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959583,0.003128518,0.00003066926,0.0003482117,0.0002486935,0.0001547276,0.00004270847,0.00001408199,0.00007409271],"genre_scores_gemma":[0.999535,0.0001156083,0.000007209329,0.0002163234,0.0000092521,0.00001614659,0.0000130693,0.000006472449,0.00008090927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5252476,"threshold_uncertainty_score":0.8660263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007524407047170088,"score_gpt":0.2312899058763936,"score_spread":0.2237654988292236,"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."}}