{"id":"W4405216733","doi":"10.1002/ecs2.70101","title":"The temporal scale of energy maximization explains allometric variations in movement decisions of large herbivores","year":2024,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Nelson Mandela University; Inyuvesi Yakwazulu-Natali","keywords":"Foraging; Herbivore; Ecology; Biology; Optimal foraging theory; Range (aeronautics); Habitat; Grazing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008358769,0.0001366338,0.0002122441,0.0006653389,0.0002106204,0.0004741421,0.0001904358,0.0002398993,0.001291381],"category_scores_gemma":[0.002852972,0.0001950375,0.0002606527,0.0003852777,0.0004342393,0.0003529351,0.0003834175,0.0002286109,0.0001748899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929128,"about_ca_system_score_gemma":0.00008923337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052529,"about_ca_topic_score_gemma":0.003568745,"domain_scores_codex":[0.9998102,0.00007043604,0.00000992095,0.00006666689,0.00001811585,0.00002472752],"domain_scores_gemma":[0.9981317,0.001056633,0.0004169485,0.000198737,0.00007533271,0.0001207276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002274048,0.00005729726,0.9606035,0.00002660789,0.0001862851,0.00006341236,0.0003472331,0.004973168,0.0248118,0.0005090031,0.0001695701,0.008024779],"study_design_scores_gemma":[0.000003174738,0.00002513985,0.991755,0.000001695795,0.000008773845,0.00005047584,0.00007771866,0.007618053,0.0001493546,0.0002368686,0.00006974354,0.000004081276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989189,0.00003398808,0.0006787758,0.00001062192,6.713762e-7,0.000002418556,0.00003978444,0.000008430527,0.0003064479],"genre_scores_gemma":[0.9996192,0.000009220904,0.0002411363,0.000003317269,0.000001175338,0.000002904327,0.00005749983,0.000004672544,0.00006079648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002052529,"threshold_uncertainty_score":0.004420638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007356268640854493,"score_gpt":0.220669180262911,"score_spread":0.2133129116220566,"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."}}