{"id":"W3029174271","doi":"10.1002/jwmg.21886","title":"Annual Pronghorn Survival of a Partially Migratory Population","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Conservation Association","funders":"Mitacs; University of Montana; University of Calgary; Alberta Conservation Association; National Fish and Wildlife Foundation; World Wildlife Fund","keywords":"Ungulate; Wildlife; Geography; Population; Ecology; Survivorship curve; Demography; Habitat; Biology","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":[0.0003310974,0.0001749744,0.0001508301,0.0003409545,0.000237796,0.0003518873,0.0002248769,0.0001560792,0.001211174],"category_scores_gemma":[0.0006490069,0.0001014363,0.0001851943,0.0001550118,0.0001811257,0.0002550808,0.0002896407,0.000174465,0.0001801723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570692,"about_ca_system_score_gemma":0.0001547998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009135672,"about_ca_topic_score_gemma":0.01650495,"domain_scores_codex":[0.9999261,0.00001353978,0.000005181334,0.00003071861,0.00001060191,0.00001394217],"domain_scores_gemma":[0.999657,0.00006989346,0.000138442,0.00002697456,0.00005081256,0.00005680927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006250482,0.00001888354,0.9935782,0.000007637008,0.00003633572,0.00006357359,0.00008253941,0.001304109,0.00113872,0.00004567027,0.0000751441,0.003586693],"study_design_scores_gemma":[0.000002613012,0.0001136298,0.9916676,0.000006790784,0.00002163207,0.0001763622,0.0001925124,0.007238023,0.0002464531,0.0001056966,0.0002239293,0.000004891861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995339,0.00001393826,0.0001507,0.000004680614,7.006322e-7,0.000001703762,0.0001254377,0.000004702425,0.0001643705],"genre_scores_gemma":[0.999426,0.00001602174,0.0001090256,0.000003768158,0.00000110208,0.000003772347,0.0002738669,0.00000121703,0.0001652486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009135672,"threshold_uncertainty_score":0.01816499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326218176726799,"score_gpt":0.2225262286340641,"score_spread":0.2092640468667961,"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."}}