{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002707836,0.0009436867,0.001175913,0.0009557082,0.002184177,0.002641642,0.00224101,0.002733519,0.01920506],"category_scores_gemma":[0.005522887,0.0003242748,0.0009841983,0.0006857913,0.003367282,0.00308528,0.005318637,0.002108485,0.005224664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228707,"about_ca_system_score_gemma":0.001021401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005881744,"about_ca_topic_score_gemma":0.0006677926,"domain_scores_codex":[0.9981054,0.0005650516,0.0001231182,0.0006503134,0.000301961,0.0002541326],"domain_scores_gemma":[0.9981145,0.0004310955,0.0003003359,0.0005408425,0.0003493829,0.0002639384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002368837,0.0001360575,0.01120768,0.001692927,0.0004747969,0.002050152,0.002954651,0.005931464,0.02356083,0.5852606,0.03676707,0.3297269],"study_design_scores_gemma":[0.00008592333,0.0005296479,0.01288193,0.0004433324,0.0001787858,0.00676116,0.001960441,0.005390397,0.004880107,0.4108011,0.5559461,0.0001410252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1641435,0.02825581,0.3381395,0.02404433,0.004079877,0.0006406934,0.002065044,0.002174664,0.4364565],"genre_scores_gemma":[0.7680171,0.01434504,0.07120876,0.01282224,0.0009787286,0.0009611759,0.003116196,0.0006346651,0.1279161],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01920506,"threshold_uncertainty_score":0.06424731,"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."}}