{"id":"W4410382900","doi":"10.1002/ece3.71405","title":"Coyote (<i>Canis latrans</i>) Macronutrient Consumption and Diet Relative to Seasonality and Urbanization","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Rabbits: Nutrition, Reproduction, Health","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; University of Alberta","funders":"Division of Environmental Biology; Arizona State University; National Science Foundation","keywords":"Seasonality; Canis; Urbanization; Geography; Consumption (sociology); Demography; Ecology; Biology; Sociology","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":[0.0001104098,0.0001809546,0.00009797124,0.0006235045,0.000314593,0.0003730109,0.0001592947,0.0001113156,0.001278026],"category_scores_gemma":[0.0002619702,0.0001162137,0.00009670352,0.0004998394,0.0002186895,0.0001900728,0.0003239438,0.000190424,0.0001536377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166215,"about_ca_system_score_gemma":0.0001634214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03969354,"about_ca_topic_score_gemma":0.1855853,"domain_scores_codex":[0.9999276,0.000006410735,0.000003836182,0.00003435684,0.00001470329,0.00001314991],"domain_scores_gemma":[0.9996852,0.00002187893,0.0001688645,0.00001392094,0.0000583011,0.0000519391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001137325,0.00003258009,0.9845442,0.0000165538,0.00004491154,0.0000485692,0.0002873602,0.0001294606,0.01109871,0.00004116593,0.0003235126,0.003319382],"study_design_scores_gemma":[5.889384e-7,0.000008912389,0.9995173,0.000001261843,0.000003708429,0.00001838918,0.00008057729,0.00006203042,0.0002120802,0.000003003077,0.00009142392,7.200446e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989557,0.00003123746,0.00005695933,0.000009452785,8.410468e-7,0.000004918762,0.0003326503,0.000003067734,0.000605091],"genre_scores_gemma":[0.9988196,0.00004776564,0.0002346891,0.00001720465,0.000002202491,0.00001177681,0.0005014715,0.000002763323,0.0003624133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03969354,"threshold_uncertainty_score":0.07892501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186433704453846,"score_gpt":0.2364044248715517,"score_spread":0.2245400878270132,"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."}}