{"id":"W2158673360","doi":"10.1111/j.1461-0248.2009.01350.x","title":"Evolutionary rescue can prevent extinction following environmental change","year":2009,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":616,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Extinction (optical mineralogy); Environmental change; Maladaptation; Population; Population size; Biology; Experimental evolution; Ecology; Biodiversity; Effective population size; Small population size; Evolutionary biology; Evolutionary dynamics; Population growth; Climate change; Genetic variation; Demography; Genetics; Habitat","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":[0.000741943,0.0002477163,0.0005150578,0.0002613099,0.0004481633,0.0006226117,0.0005036809,0.001022869,0.002049369],"category_scores_gemma":[0.002731686,0.0001885075,0.0003520739,0.0001321657,0.0009541047,0.0007483168,0.001460599,0.0007948633,0.000389459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568651,"about_ca_system_score_gemma":0.0002070225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000207366,"about_ca_topic_score_gemma":0.0003198613,"domain_scores_codex":[0.9996529,0.0001017521,0.00003326075,0.00007024145,0.00005318602,0.00008869279],"domain_scores_gemma":[0.9987866,0.0004378419,0.0002692938,0.0003036988,0.00008922107,0.0001133491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005468259,0.0001851992,0.0146516,0.0002702637,0.0001347302,0.001147253,0.0004483489,0.008938815,0.9283391,0.00705405,0.0007474021,0.03753657],"study_design_scores_gemma":[0.0003370051,0.004281144,0.2045433,0.0001577752,0.0003302261,0.008798731,0.003069364,0.04986082,0.6236809,0.06681694,0.0378924,0.0002313624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905367,0.0006115003,0.005267638,0.0006707552,0.00003127855,0.00001627764,0.000046076,0.0001169571,0.002702764],"genre_scores_gemma":[0.9976994,0.0002151377,0.001276061,0.0002063403,0.000008199477,0.00001394307,0.0000603731,0.0000181088,0.0005023675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002049369,"threshold_uncertainty_score":0.006855786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005551323963901717,"score_gpt":0.2115414084523438,"score_spread":0.2059900844884421,"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."}}