{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000443389,0.00006255021,0.00004046883,0.00002101697,0.0001331396,0.00000715434,0.00005194042,0.0001010377,0.0001129337],"category_scores_gemma":[0.00001127989,0.00006525638,0.0000334388,0.00004762786,0.00008657036,0.000003006842,0.00004018923,0.00002484083,0.0001805961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441732,"about_ca_system_score_gemma":0.00002206583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003366588,"about_ca_topic_score_gemma":0.0002483735,"domain_scores_codex":[0.999537,0.00002762446,0.00007291218,0.0001687904,0.00008795749,0.000105708],"domain_scores_gemma":[0.9997286,0.000001705578,0.00003579088,0.0001248145,0.00006905546,0.00004009365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00120363,0.0001386749,0.1138829,0.00003904181,0.0001528802,0.000004956012,0.002804287,0.002148743,0.7351543,0.01046533,0.09569346,0.0383118],"study_design_scores_gemma":[0.001770172,0.001341696,0.3879231,0.00001674397,0.00006299512,0.00005222543,0.001301702,0.004098976,0.08646225,0.002336855,0.5140237,0.0006096501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949938,0.0001224581,0.04689434,0.00009580982,0.0003408875,0.00006841799,0.00001155221,0.00001355169,0.002514974],"genre_scores_gemma":[0.9970338,0.000006027722,0.000485425,0.00008244904,0.0003582819,0.000001547344,0.0001606209,0.000004890258,0.001866953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.648692,"threshold_uncertainty_score":0.2661078,"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."}}