{"id":"W3092879034","doi":"10.1002/ece3.6695","title":"Evolutionary adaptation of high‐diversity communities to changing environments","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Departamento de Investigaciones Científicas y Tecnológicas, Universidad de Santiago de Chile; Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Diversity (politics); Evolutionary biology; Ecology; Geography; Biology; Sociology; Anthropology; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007465542,0.0003222951,0.0003445573,0.0005768495,0.00081461,0.001373478,0.0007729749,0.001003313,0.0008950125],"category_scores_gemma":[0.003338214,0.0002679308,0.0006497806,0.000394095,0.0008701286,0.001430278,0.001101638,0.0007177315,0.0001419174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035252,"about_ca_system_score_gemma":0.0004440552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507538,"about_ca_topic_score_gemma":0.002715883,"domain_scores_codex":[0.9997043,0.0001250856,0.000008306524,0.00006989756,0.00004112148,0.00005122792],"domain_scores_gemma":[0.9988689,0.0003919174,0.000361047,0.0001120186,0.00008861098,0.0001775487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009942589,0.0001524465,0.03155981,0.000052148,0.0002489848,0.0006037143,0.0006718448,0.8964163,0.02519085,0.03443253,0.0005334967,0.01003846],"study_design_scores_gemma":[0.00002839526,0.00006900018,0.0100097,0.000007415991,0.00002624928,0.0001630138,0.000187161,0.9552124,0.0009119667,0.03258054,0.0007697986,0.00003441818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588333,0.00007316147,0.0387163,0.000383916,0.0000164769,0.00001306868,0.0000393826,0.00005920458,0.001865247],"genre_scores_gemma":[0.994467,0.00006016378,0.004865003,0.00004547217,0.000006767058,0.00001798799,0.00003196527,0.00001151697,0.0004941734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003507538,"threshold_uncertainty_score":0.007511377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143633898193325,"score_gpt":0.1991477797880334,"score_spread":0.1877114408061002,"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."}}