{"id":"W4233018890","doi":"10.1146/annurev-ecolsys-110316-023011","title":"Evolutionary Rescue","year":2017,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":381,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biological dispersal; Adaptation (eye); Ecology; Population; Biology; Evolutionary ecology; Extinction (optical mineralogy); Evolutionary dynamics; Selection (genetic algorithm); Abundance (ecology); Evolutionary biology; Natural selection; Computer science; Demography; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000654245,0.0001339746,0.0003666881,0.000036451,0.0002589257,0.000009837965,0.0002699727,0.0001618143,0.00002301742],"category_scores_gemma":[0.001236743,0.0001186102,0.0001060916,0.00003137754,0.000282071,0.000009042074,0.0001932685,0.00006622863,0.00001891295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347487,"about_ca_system_score_gemma":0.0001119178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114878,"about_ca_topic_score_gemma":0.00006588984,"domain_scores_codex":[0.9987788,0.000159747,0.0005230876,0.0002305006,0.0001339968,0.0001738439],"domain_scores_gemma":[0.9984816,0.00002081689,0.0003981522,0.0006868861,0.0003309785,0.00008159439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002344096,0.001052106,0.1903985,0.1519771,0.001214871,0.0000247168,0.0004712821,0.0002374974,0.01063754,0.2457598,0.3922493,0.00574295],"study_design_scores_gemma":[0.003111969,0.002352377,0.8275464,0.01950388,0.0006697356,0.0008608174,0.001228728,0.01103069,0.0002640449,0.00522147,0.1266416,0.001568296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3293073,0.5681779,0.02633054,0.007713997,0.003483012,0.0050457,0.0007874027,0.00009518193,0.05905897],"genre_scores_gemma":[0.9588976,0.03555503,0.001827151,0.0005367823,0.0001373629,0.00003750017,0.00007127118,0.00001485033,0.00292245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6371479,"threshold_uncertainty_score":0.4836784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009578504689837612,"score_gpt":0.2915074428926472,"score_spread":0.2819289382028096,"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."}}