{"id":"W2035679039","doi":"10.1002/jwmg.244","title":"Estimating ungulate recruitment and growth rates using age ratios","year":2011,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; Parks Canada","funders":"","keywords":"Ungulate; Vital rates; Population growth; Population; Woodland; Demography; Biology; Wildlife; Mark and recapture; Woodland caribou; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001475821,0.0003823696,0.0002430245,0.001216526,0.0001603,0.0003983936,0.0003428042,0.0002682756,0.0006348711],"category_scores_gemma":[0.005078996,0.000204269,0.0002907529,0.0003883864,0.0001662874,0.0004609637,0.0003646674,0.000158739,0.0002585787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665946,"about_ca_system_score_gemma":0.0002461012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007572552,"about_ca_topic_score_gemma":0.01498808,"domain_scores_codex":[0.999562,0.0002440781,0.00002332825,0.00008472337,0.00006680447,0.00001897328],"domain_scores_gemma":[0.9982415,0.0008877988,0.0004868969,0.0001268723,0.0002015455,0.00005520262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001159063,0.00003775752,0.8866596,0.00003788759,0.00009463767,0.00006657767,0.000145613,0.0663048,0.007050251,0.0009064986,0.000138617,0.03844185],"study_design_scores_gemma":[0.00001158236,0.0001453113,0.4997036,0.00002920187,0.00004605091,0.0003183397,0.0001361159,0.4912023,0.005575218,0.002056127,0.0007415694,0.00003456628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543268,0.0002249176,0.04377323,0.00002264384,0.000004292494,0.00002634795,0.0002201304,0.00009748851,0.001304117],"genre_scores_gemma":[0.9847124,0.00008941502,0.0146199,0.000007707031,0.000003785432,0.00002193509,0.0002255329,0.00001172853,0.0003077028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007572552,"threshold_uncertainty_score":0.01505697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646494963227713,"score_gpt":0.2715329138693557,"score_spread":0.2068834175465844,"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."}}