{"id":"W2809268713","doi":"10.1111/evo.13521","title":"Digest: Local adaptation at close quarters*","year":2018,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Biology; Gene flow; Adaptation (eye); Divergence (linguistics); Local adaptation; Genetic drift; Evolutionary biology; Genetic divergence; Adaptive evolution; Arabidopsis; Gene; Genetic variation; Genetics; Genetic diversity; Population; Demography; Neuroscience","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":[0.0008100361,0.0003040933,0.0005095012,0.0008681034,0.002061233,0.002695942,0.0009235194,0.00123386,0.0664411],"category_scores_gemma":[0.003591105,0.0002605297,0.0004811947,0.001485853,0.001390815,0.003126786,0.002940438,0.001502485,0.01831413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009355222,"about_ca_system_score_gemma":0.000479919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113954,"about_ca_topic_score_gemma":0.001137106,"domain_scores_codex":[0.9993821,0.0001075012,0.00003258823,0.0002035118,0.0001532619,0.0001210146],"domain_scores_gemma":[0.998492,0.0002215982,0.0003120366,0.0003971092,0.0002385375,0.0003386453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001529541,0.0003396031,0.070649,0.0007652497,0.0001880045,0.003534917,0.005046212,0.003049254,0.0432011,0.1930538,0.2140407,0.4646025],"study_design_scores_gemma":[0.00009688331,0.0004374445,0.1319758,0.0002867619,0.0001188158,0.008613677,0.00641129,0.005873808,0.01303298,0.1662638,0.6667005,0.0001883978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4921335,0.009956734,0.06442495,0.029358,0.005317181,0.0002623487,0.00411132,0.002678938,0.391757],"genre_scores_gemma":[0.860814,0.001662456,0.008520347,0.003284589,0.0007691646,0.00007963838,0.001990274,0.0006117327,0.1222678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0664411,"threshold_uncertainty_score":0.2222676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008777958902535772,"score_gpt":0.2210044940413769,"score_spread":0.2122265351388412,"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."}}