{"id":"W2585229638","doi":"10.1111/1365-2656.12645","title":"Many places called home: the adaptive value of seasonal adjustments in range fidelity","year":2017,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Economic Development for Quebec Regions; Natural Sciences and Engineering Research Council of Canada; Canadian Wildlife Federation; Université du Québec à Rimouski","keywords":"Ungulate; Fidelity; Ecology; Range (aeronautics); Woodland caribou; Habitat; Biology; Boreal; Home range; Reproductive success; Adaptive value; Predation; Geography; Demography; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008622078,0.00007346371,0.0002218118,0.00002717559,0.0001665961,0.000008971708,0.0004270817,0.0001023048,0.000840802],"category_scores_gemma":[0.0002316315,0.0000511674,0.0000687236,0.00003839601,0.0003576539,0.0002642179,0.0001475231,0.0002376909,0.00003390431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265888,"about_ca_system_score_gemma":0.000056575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001585894,"about_ca_topic_score_gemma":0.00132706,"domain_scores_codex":[0.9990649,0.0001783262,0.0003392398,0.00009895099,0.0001565547,0.0001620372],"domain_scores_gemma":[0.9989502,0.000199509,0.000650265,0.0001313065,0.00002675752,0.00004192633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009674518,0.0001235534,0.995876,0.000002061456,0.00002938268,0.00003957434,0.0001718423,0.0001775472,0.0003205132,0.0004438168,0.001526605,0.0003217193],"study_design_scores_gemma":[0.001001877,0.0008454363,0.9954535,0.000007566328,0.00002291331,0.00004035138,0.0001321183,0.001163092,0.00003988259,0.001102476,0.0001422516,0.00004850655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953272,0.00003663463,0.00001300501,0.003042295,0.0001991581,0.0001008099,0.000003137128,0.000001387582,0.001276326],"genre_scores_gemma":[0.9990794,0.00003107452,0.0002859703,0.000465477,0.00005168555,0.000003616708,2.29335e-7,0.000003281626,0.00007924828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375217,"threshold_uncertainty_score":0.9206192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857774889837813,"score_gpt":0.2590940873708164,"score_spread":0.2405163384724382,"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."}}