{"id":"W4387642595","doi":"10.1038/s42003-023-05419-4","title":"Differential provisioning roles, prey size, and prey abundance shape the dynamic feeding behavior of gray wolves","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Park Service; Minnesota Environment and Natural Resources Trust Fund; University of Minnesota","keywords":"Predation; Provisioning; Abundance (ecology); Canis; Biology; Gray wolf; Ecology; Offspring; Carnivore; Zoology; Foraging; Seasonal breeder","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":[0.0001397686,0.00009610021,0.000108525,0.0002145436,0.0001307577,0.0002568421,0.00009683456,0.0001387643,0.0005780603],"category_scores_gemma":[0.0005073591,0.0001324832,0.00006552741,0.0000910971,0.0001945277,0.0001789298,0.0001819962,0.0001278997,0.0000830162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032399,"about_ca_system_score_gemma":0.00007715339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295041,"about_ca_topic_score_gemma":0.00642756,"domain_scores_codex":[0.9999251,0.00002127725,0.000006423368,0.0000211869,0.000009619289,0.00001629679],"domain_scores_gemma":[0.9996927,0.00006439387,0.0001424172,0.00002437537,0.00001991727,0.00005624842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001187461,0.00005890316,0.9520511,0.00001452052,0.00004796572,0.000129848,0.0003820217,0.0001366532,0.04144182,0.00006639177,0.00005992822,0.005492195],"study_design_scores_gemma":[5.998967e-7,0.00001910045,0.99945,8.88168e-7,0.00000349838,0.00006130555,0.00006800359,0.0001143828,0.0002411309,0.00001276024,0.00002753377,7.297786e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998969,0.00001179335,0.00001710237,0.000002279139,1.382275e-7,2.557703e-7,0.000006578676,5.795624e-7,0.00006432115],"genre_scores_gemma":[0.9998227,0.00001204351,0.00006849263,0.000004818041,5.629657e-7,8.992993e-7,0.00001927496,8.727353e-7,0.00007039704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001295041,"threshold_uncertainty_score":0.00257498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944065857895967,"score_gpt":0.279050566609062,"score_spread":0.2596099080301023,"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."}}