{"id":"W2043263419","doi":"10.1111/1365-2745.12369","title":"Life history evolution under climate change and its influence on the population dynamics of a long‐lived plant","year":2015,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Rice University; National Science Foundation","keywords":"Vital rates; Climate change; Biology; Population; Reproduction; Ecology; Perennial plant; Precipitation; Annual plant; Life history theory; Population model; Evolutionarily stable strategy; Population growth; Demography; Life history; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002501347,0.00004377885,0.0001194528,0.0000112169,0.00004758791,0.000002999457,0.00006211615,0.0000431585,0.00001327396],"category_scores_gemma":[0.0001525773,0.00001390876,0.00002365267,0.00003331101,0.00002813567,0.0000645262,0.0000272846,0.00006935254,0.000002122624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000980003,"about_ca_system_score_gemma":0.00000840378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000545798,"about_ca_topic_score_gemma":0.002894462,"domain_scores_codex":[0.9995858,0.00005439166,0.0001501139,0.00004479193,0.00007896819,0.00008590204],"domain_scores_gemma":[0.9994825,0.0001419393,0.0002394058,0.000006298845,0.00007932562,0.0000505386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004507912,0.000118177,0.9754362,0.00001177979,0.00003984853,0.00001737131,0.0003083562,0.00006324852,0.006613933,0.01511898,0.0009869704,0.0008343428],"study_design_scores_gemma":[0.0000827946,0.0005155339,0.9980451,0.00001633861,0.0000100844,0.00002720572,0.0002139762,0.0002826336,0.000005950805,0.0006733848,0.00009622752,0.00003076014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960153,0.0006343068,2.204922e-7,0.003101448,0.00009443112,0.00004806693,0.00001124241,0.000002394343,0.00009258263],"genre_scores_gemma":[0.9993377,0.0002437967,0.000002209832,0.0002982907,0.0001065713,0.000001071791,0.000002416609,2.357469e-7,0.000007692423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260891,"threshold_uncertainty_score":0.1615178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1550703840296026,"score_gpt":0.2349316095226018,"score_spread":0.0798612254929992,"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."}}