{"id":"W2013650173","doi":"10.1046/j.1365-2664.2002.00692.x","title":"Changes in survival rates and population dynamics of greater snow geese over a 30‐year period: implications for hunting regulations","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval","funders":"Arctic Goose Joint Venture","keywords":"Population; Biology; Flock; Reproduction; Density dependence; Population growth; Goose; Snow; Population density; Ecology; Animal science; Demography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002723845,0.00005904584,0.000161541,0.00008163248,0.00008023506,0.000006635057,0.00006455309,0.00009458927,0.0006972372],"category_scores_gemma":[0.00005024748,0.00005685047,0.00002324559,0.0001056127,0.00007376473,0.00008995832,0.00003155628,0.00007469538,0.000004968757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009452414,"about_ca_system_score_gemma":0.000004978574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001756413,"about_ca_topic_score_gemma":0.003062152,"domain_scores_codex":[0.9994645,0.00002292136,0.0002477846,0.00009835909,0.00004552066,0.0001209543],"domain_scores_gemma":[0.9994784,0.000131714,0.0002804073,0.00006684941,0.00001664277,0.00002600247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002788988,0.00003825437,0.9947207,0.000004031535,0.000009050167,2.605576e-7,0.0002514591,0.0005820719,0.0003737352,0.002190393,0.0001203956,0.001681754],"study_design_scores_gemma":[0.0005019482,0.00007707763,0.9906147,0.000003467789,0.00001655396,0.000006525435,0.0001282423,0.004092824,0.00002584932,0.004431637,0.00005061075,0.00005060136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955296,0.000003480949,0.0001366351,0.003618641,0.0000605174,0.0001654924,0.000005393737,0.000002292153,0.0004779437],"genre_scores_gemma":[0.9983019,0.00001397831,0.001457233,0.0000998108,0.00004056976,0.00001909231,0.000007164314,0.000005680529,0.00005458534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004106042,"threshold_uncertainty_score":0.7634258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628411724906323,"score_gpt":0.2404854451784108,"score_spread":0.2242013279293475,"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."}}