{"id":"W2045577540","doi":"10.1016/j.tree.2015.01.002","title":"How maladaptation can structure biodiversity: eco-evolutionary island biogeography","year":2015,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Maladaptation; Ecology; Evolutionary ecology; Adaptation (eye); Natural selection; Biology; Local adaptation; Biogeography; Biodiversity; Structuring; Evolutionary biology; Selection (genetic algorithm); Population; Sociology","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":[0.0001404195,0.0002025738,0.0001739207,0.0004733605,0.0001076158,0.00002099721,0.0001829431,0.0004012038,0.00003651488],"category_scores_gemma":[0.00005502299,0.0002205151,0.00009207911,0.0004722732,0.000202639,0.00001357422,0.0001056634,0.0001508847,0.000009952266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836016,"about_ca_system_score_gemma":0.000130598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143954,"about_ca_topic_score_gemma":0.01744305,"domain_scores_codex":[0.9986867,0.0001427201,0.0001898448,0.0004527691,0.00015811,0.0003698434],"domain_scores_gemma":[0.9993197,0.00000725937,0.0001159703,0.0002821038,0.0001412973,0.000133651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477671,0.00011535,0.9583676,0.000006004058,0.00006143909,0.000005853176,0.0001076919,0.004811627,0.005550819,0.0004208492,0.02922484,0.001180174],"study_design_scores_gemma":[0.001698385,0.0004747392,0.9811117,0.000003399558,0.00003736356,0.00004821637,0.0004362552,0.003847593,0.0002061724,0.001363497,0.01046139,0.0003112638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941436,0.0005870989,0.001581843,0.00207265,0.0006115706,0.0001224423,0.0003202535,0.00003375439,0.0005267931],"genre_scores_gemma":[0.9950264,0.00005148207,0.001083704,0.0001678244,0.0001413639,0.00001095128,0.002290979,0.00001120971,0.001216064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02274414,"threshold_uncertainty_score":0.9733629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987730832442582,"score_gpt":0.2216008068171341,"score_spread":0.2117234984927082,"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."}}