{"id":"W2136117951","doi":"10.1890/14-0805.1","title":"Bison distribution under conflicting foraging strategies: site fidelity vs. energy maximization","year":2015,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Foraging; Fidelity; Ecology; Maximization; Geography; Optimal foraging theory; Distribution (mathematics); Environmental science; Biology; Computer science; Mathematics; Mathematical optimization","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":[0.0004928972,0.0001689341,0.0002261097,0.00080726,0.0004409601,0.0007187537,0.0003526088,0.000234804,0.001760207],"category_scores_gemma":[0.002121278,0.0001440384,0.0001262304,0.000332616,0.0005987221,0.0005198789,0.0006569379,0.0002199643,0.0001535803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007402177,"about_ca_system_score_gemma":0.0002159299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377627,"about_ca_topic_score_gemma":0.03727683,"domain_scores_codex":[0.9997504,0.00006070272,0.00001130403,0.00008172394,0.00004356728,0.00005223498],"domain_scores_gemma":[0.9990321,0.0002685154,0.0003634091,0.00006089379,0.0001072359,0.000167975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003821976,0.00006958556,0.968371,0.00003021813,0.00007130302,0.0001973411,0.0009130739,0.00242223,0.0149767,0.001003747,0.0001411198,0.01142144],"study_design_scores_gemma":[0.000006634166,0.0001107629,0.9872751,0.000009127662,0.0000229213,0.0004161608,0.0008515673,0.009646347,0.0008303245,0.0005404454,0.0002746904,0.00001584684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991664,0.00002880778,0.0001986293,0.000007259116,3.636054e-7,0.000002173032,0.00001258868,0.000001846615,0.0005820148],"genre_scores_gemma":[0.9996467,0.00001304811,0.0001633936,0.000007108583,8.189114e-7,0.000002112418,0.00002900392,0.000001562362,0.0001361854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377627,"threshold_uncertainty_score":0.02739215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990458302393907,"score_gpt":0.2506956612869291,"score_spread":0.23079107826299,"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."}}