{"id":"W2884510698","doi":"10.1111/2041-210x.13065","title":"Parameterizing the robust design in the BUGS language: Lifetime carry‐over effects of environmental conditions during growth on a long‐lived bird","year":2018,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; National Science Foundation","keywords":"Mark and recapture; Vital rates; Emigration; Population; Bayesian probability; Statistics; Geography; Ecology; Demography; Biology; Population growth; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02734918,0.001101693,0.0009012792,0.0008614726,0.0004473109,0.00128183,0.001965112,0.001263333,0.004146397],"category_scores_gemma":[0.08155639,0.001051241,0.001837553,0.0004804183,0.001961309,0.001608221,0.002591217,0.001633585,0.0003360669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117201,"about_ca_system_score_gemma":0.00160351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005357584,"about_ca_topic_score_gemma":0.004588305,"domain_scores_codex":[0.9864075,0.01039795,0.0004956008,0.001448538,0.000956331,0.0002939823],"domain_scores_gemma":[0.9256627,0.05874215,0.006963263,0.005707126,0.002584224,0.0003405283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009693024,0.0001867983,0.03898591,0.0004448934,0.0009097239,0.0002515679,0.0007571564,0.774046,0.008540976,0.09285464,0.002138494,0.07991459],"study_design_scores_gemma":[0.0002273104,0.0008644758,0.01049566,0.0001113429,0.0002548698,0.0001417571,0.0001530725,0.9394377,0.004475406,0.03990861,0.003803674,0.0001260581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08937255,0.00009682251,0.9082166,0.0001967723,0.00003406578,0.0001482117,0.0003047916,0.0006916852,0.0009385595],"genre_scores_gemma":[0.7249541,0.00008175072,0.2719361,0.000205177,0.00003019643,0.001126243,0.0004106891,0.0002579592,0.0009978684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02734918,"threshold_uncertainty_score":0.144638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519016203283687,"score_gpt":0.2965642803529444,"score_spread":0.2813741183201076,"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."}}