{"id":"W2904747538","doi":"10.1111/ele.13195","title":"The diversity of population responses to environmental change","year":2018,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"H2020 European Research Council; National Institute on Aging; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Max-Planck-Gesellschaft; Sight Research UK; Deutsche Forschungsgemeinschaft; Zoological Society of London; University of Pennsylvania; Leakey Foundation; Wenner-Gren Foundation; National Geographic Society; National Science Foundation","keywords":"Fecundity; Population growth; Vital rates; Population; Ecology; Extinction (optical mineralogy); Biology; Climate change; Demography; Variance (accounting); Population model; Dependency ratio; Reproductive value; Demographic change; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002463699,0.0001918983,0.0002112946,0.00005549125,0.0006426538,0.000006614264,0.0005645679,0.0004706644,0.002713912],"category_scores_gemma":[0.00003167233,0.0001558412,0.00009595514,0.00006876815,0.0007909579,0.00008439702,0.001084169,0.0004911186,0.002026313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004213899,"about_ca_system_score_gemma":0.000002592507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414909,"about_ca_topic_score_gemma":0.0005190485,"domain_scores_codex":[0.9985155,0.0002594666,0.0002080376,0.0003786646,0.0002227044,0.000415567],"domain_scores_gemma":[0.9991423,0.0002511071,0.0001878427,0.0003746026,0.000001777853,0.0000423169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002328637,0.0000117576,0.550967,0.000001122546,0.00001109781,0.00004414389,0.0001236428,4.415471e-7,0.0001540382,7.137876e-8,0.4484798,0.0001835598],"study_design_scores_gemma":[0.00008721456,0.000129942,0.8325801,0.000002391261,0.00005334835,0.000008402232,0.000008958258,6.698302e-7,0.0000336496,0.00001120913,0.166946,0.000138186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6559671,0.000002796756,0.000001800083,0.3430097,0.000595,0.0003272318,0.00003884895,0.00001259554,0.00004498837],"genre_scores_gemma":[0.3751789,0.000005604187,0.00009011158,0.6219674,0.0006589086,0.00005107638,0.00008908841,0.00001812035,0.001940743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2816131,"threshold_uncertainty_score":0.9987507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212110891825344,"score_gpt":0.2249380797853121,"score_spread":0.2037269906027777,"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."}}