{"id":"W1753717546","doi":"10.1111/geb.12323","title":"Where does environmental stochasticity most influence population dynamics? An assessment along a regional core‐periphery gradient for prairie breeding ducks","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; Trent University","funders":"Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; Canada Research Chairs; McKnight Foundation","keywords":"Abundance (ecology); Environmental gradient; Ecology; Population; Environmental change; Biology; Habitat; Geography; Climate change","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":[0.001035941,0.0001946566,0.0003215441,0.0006931095,0.0003666764,0.0008240694,0.0003079277,0.0003307163,0.0004293476],"category_scores_gemma":[0.002815632,0.0002432952,0.000484576,0.0005484251,0.0005543335,0.0005880914,0.0006248325,0.0002947662,0.00005704908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005598643,"about_ca_system_score_gemma":0.0003594036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077344,"about_ca_topic_score_gemma":0.0428101,"domain_scores_codex":[0.99946,0.0002022381,0.00004729667,0.0001823367,0.00005666731,0.00005133721],"domain_scores_gemma":[0.9982603,0.0006037499,0.0005734489,0.0001123817,0.0002590258,0.000190996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004147394,0.00001846043,0.994418,0.00001145229,0.00008259721,0.00006321832,0.000237133,0.002184954,0.00117113,0.00006885931,0.00004034079,0.001662483],"study_design_scores_gemma":[0.000001947784,0.00003601826,0.9913526,0.000004955401,0.00002325647,0.00003535962,0.00036726,0.007913073,0.0001090831,0.00005300904,0.00009738741,0.000006117346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995269,0.00002815581,0.0002573673,0.00002004018,8.184049e-7,0.000002009569,0.00004201169,0.000002298011,0.0001203454],"genre_scores_gemma":[0.9998137,0.00001258616,0.0001126609,0.000003052318,0.00000110681,9.873872e-7,0.00003593056,6.493036e-7,0.00001932772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077344,"threshold_uncertainty_score":0.04130507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195156860334867,"score_gpt":0.255613391724188,"score_spread":0.2436618231208393,"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."}}