{"id":"W2897479992","doi":"10.1111/ddi.12849","title":"The biogeography of home range size of woodland caribou <i>Rangifer tarandus caribou</i>","year":2018,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Range (aeronautics); Ecology; Woodland caribou; Population; Home range; Boreal; Disturbance (geology); Geography; Population size; Threatened species; Species distribution; Biology; Physical geography; Habitat; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003027866,0.00009744379,0.0001480286,0.0007177883,0.0003015214,0.0004725852,0.0002025879,0.0001024003,0.0006489695],"category_scores_gemma":[0.000642499,0.00009500844,0.0001991575,0.0004632909,0.0003757039,0.0001439099,0.0002255277,0.0001382247,0.0000618438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004308363,"about_ca_system_score_gemma":0.0003235182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1227444,"about_ca_topic_score_gemma":0.2241275,"domain_scores_codex":[0.9998344,0.00005313483,0.000007917637,0.00005142967,0.00002064245,0.00003251691],"domain_scores_gemma":[0.999558,0.0001272579,0.0001273413,0.00004004281,0.00008836231,0.00005886726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001654196,0.000005687318,0.9963034,0.000004566229,0.00003926469,0.00003882601,0.0003111929,0.0002624336,0.001180649,0.00004382758,0.00005628169,0.001737281],"study_design_scores_gemma":[6.037167e-7,0.000005889923,0.9988897,0.00000330372,0.000008009248,0.00005446013,0.0002821357,0.0005928585,0.00005924165,0.00002046,0.00008128313,0.000002051737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996992,0.00003414356,0.00007345158,0.00000737246,3.874537e-7,4.63885e-7,0.00004317452,0.00000233217,0.0001393845],"genre_scores_gemma":[0.9998612,0.00001392762,0.00004241882,0.000001691989,4.314689e-7,5.609936e-7,0.00005186162,9.222903e-7,0.00002696644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8772556,"threshold_uncertainty_score":0.24406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007946244689336208,"score_gpt":0.1856169149788958,"score_spread":0.1776706702895596,"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."}}