{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753242,0.000214909,0.0002286573,0.0008145866,0.001069863,0.0007139893,0.0005476288,0.0002821763,0.001050631],"category_scores_gemma":[0.0006889911,0.0001551271,0.0002467522,0.001195649,0.0005860243,0.0001868527,0.0003371604,0.0002596163,0.00009947359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008343768,"about_ca_system_score_gemma":0.003671672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754102,"about_ca_topic_score_gemma":0.9920759,"domain_scores_codex":[0.9997079,0.00002978756,0.00001397005,0.00007799992,0.0000724363,0.00009795248],"domain_scores_gemma":[0.9990537,0.00009278773,0.0001819666,0.00003285874,0.0003773338,0.0002613956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006015833,0.00001351681,0.9959097,0.000008664423,0.00004859145,0.00004660021,0.0004623946,0.0001233493,0.001317088,0.00002748896,0.0002070746,0.001775429],"study_design_scores_gemma":[5.952651e-7,0.000004407093,0.9995291,0.000003198672,0.000004125072,0.00001058677,0.0002354849,0.00008772842,0.00002431934,0.000002192224,0.00009628946,0.000001992808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998893,0.000137927,0.00005370604,0.00003441083,0.000001668746,0.000005956018,0.0004150745,0.000004091637,0.0004541857],"genre_scores_gemma":[0.9991085,0.00007402203,0.00009412142,0.00002458777,9.58427e-7,0.000004552341,0.0003231433,0.000002090524,0.000367971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458978,"threshold_uncertainty_score":0.06053859,"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."}}