{"id":"W4389541962","doi":"10.1139/cjz-2023-0144","title":"Variation in body condition of moose calves in regions with contrasted winter conditions and tick loads","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Université de Montréal; Parks Canada","keywords":"Biology; Variation (astronomy); Tick; Bergmann's rule; Body weight; Ecology; Zoology; Animal science; Latitude","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001948852,0.000120725,0.0001947546,0.0005981965,0.0004503435,0.0003743843,0.0001577858,0.0001654679,0.0005936931],"category_scores_gemma":[0.0003844485,0.00009086389,0.000122918,0.0004747755,0.0003481385,0.0001493229,0.000227349,0.0001393144,0.00008122493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007387731,"about_ca_system_score_gemma":0.0003288268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09337121,"about_ca_topic_score_gemma":0.3394617,"domain_scores_codex":[0.9998438,0.00002652047,0.00000991718,0.00004904664,0.00002518601,0.00004558093],"domain_scores_gemma":[0.9997621,0.00002868844,0.00008159228,0.00001381529,0.0000476235,0.00006603928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005733416,0.00001424995,0.9927168,0.000005295379,0.00002850257,0.00006919026,0.0003377859,0.00003187112,0.005590345,0.00001088845,0.0000234134,0.00111429],"study_design_scores_gemma":[2.828849e-7,0.0000091374,0.9997429,5.861885e-7,0.000001881474,0.00002417791,0.0001467557,0.00001224843,0.00004150294,0.000001332996,0.00001873423,4.953217e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999779,0.00002243804,0.00002172048,0.000002380148,4.52518e-7,0.000001111111,0.00005241422,5.084896e-7,0.0001199515],"genre_scores_gemma":[0.9997166,0.00001832321,0.00005534422,0.00000780799,7.347015e-7,0.000002324346,0.0001115292,5.902006e-7,0.00008671649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09337121,"threshold_uncertainty_score":0.1856555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303906864345251,"score_gpt":0.2086218485938114,"score_spread":0.1955827799503589,"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."}}