{"id":"W2773845804","doi":"10.1002/jwmg.21404","title":"Integrated population models facilitate ecological understanding and improved management decisions","year":2017,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Aythya; Anas; Waterfowl; Population; Ecology; Anatidae; Population model; Fecundity; Wildlife; Habitat; Population ecology; Population size; Geography; Environmental resource management; Fishery; Biology; Environmental science; Demography","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":[0.002831158,0.001041709,0.0009102044,0.001494832,0.0004093739,0.00253174,0.001976592,0.001069822,0.005307664],"category_scores_gemma":[0.008131198,0.000522417,0.00130496,0.001268146,0.0008080382,0.003702838,0.00244943,0.002213642,0.0008606304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367795,"about_ca_system_score_gemma":0.001673334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008603533,"about_ca_topic_score_gemma":0.008730891,"domain_scores_codex":[0.9989287,0.0005459551,0.00006734048,0.0002133211,0.0001931296,0.00005158635],"domain_scores_gemma":[0.9978443,0.001164747,0.0003320689,0.0002699848,0.0002857412,0.0001030336],"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":[0.00002294877,0.00007251589,0.004045052,0.00009654038,0.0001965512,0.00005793868,0.00009311242,0.8355178,0.0004934114,0.1171197,0.00351803,0.03876639],"study_design_scores_gemma":[0.00001146513,0.00002198394,0.000490493,0.00005549368,0.00003926132,0.000016673,0.00004644521,0.8965914,0.0001136193,0.09579163,0.006803568,0.00001791319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01050101,0.0005434102,0.976896,0.001293761,0.0001116608,0.00006634575,0.0007587233,0.0006307485,0.009198265],"genre_scores_gemma":[0.4353346,0.002549631,0.5519381,0.0005841439,0.0002652556,0.0004753827,0.001571886,0.0002916791,0.00698942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008603533,"threshold_uncertainty_score":0.01775593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08500381078756587,"score_gpt":0.2787958759323972,"score_spread":0.1937920651448313,"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."}}