{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508627,0.0002074459,0.0003251022,0.0004520183,0.0007021573,0.001474396,0.0009540579,0.003623659,0.003034068],"category_scores_gemma":[0.01616716,0.0001878592,0.0003908135,0.0004889335,0.001663821,0.001812736,0.001091649,0.003431965,0.001541735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134947,"about_ca_system_score_gemma":0.0003559943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009548723,"about_ca_topic_score_gemma":0.001397574,"domain_scores_codex":[0.9983667,0.0006873812,0.0001054841,0.0003467802,0.0003400341,0.0001537532],"domain_scores_gemma":[0.9931988,0.00491454,0.0003465708,0.000760176,0.0005162082,0.0002637072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004496383,0.00009467849,0.05547306,0.0004015415,0.0002078873,0.005780268,0.001694222,0.01001239,0.005688252,0.07761477,0.179593,0.6629902],"study_design_scores_gemma":[0.00009122825,0.0001972996,0.04377849,0.0006922013,0.00006105414,0.01577142,0.001695734,0.01577326,0.002216817,0.2847778,0.6347979,0.0001467411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1021447,0.03594968,0.02207076,0.7771931,0.006573842,0.00003603754,0.0006148243,0.000362991,0.05505408],"genre_scores_gemma":[0.7220547,0.0270872,0.005629237,0.2234668,0.01231863,0.00009891723,0.0003380719,0.0001774455,0.008829035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003623659,"threshold_uncertainty_score":0.01326704,"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."}}