{"id":"W2166909652","doi":"10.1111/j.1365-294x.2012.05454.x","title":"Adaptation with gene flow across the landscape in a dune sunflower","year":2012,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Nature Conservancy","keywords":"Biology; Ecology; Gene flow; Genetic divergence; Coalescent theory; Metapopulation; Local adaptation; Population; Resistance (ecology); Ecotype; Isolation by distance; Habitat; Adaptation (eye); Biological dispersal; Genetic variation; Genetic diversity; Phylogenetic tree; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586697,0.000104912,0.0000938944,0.00002293134,0.00007811734,0.00001240293,0.00012782,0.000149994,0.00006799728],"category_scores_gemma":[0.00002453409,0.00007774543,0.00003785054,0.0001018518,0.00005864639,0.000003955003,0.00007747387,0.00008527918,0.00001980502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007487623,"about_ca_system_score_gemma":0.00002662967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214846,"about_ca_topic_score_gemma":0.0006900167,"domain_scores_codex":[0.9992459,0.00008712607,0.0001037544,0.0001729969,0.00008415688,0.0003060375],"domain_scores_gemma":[0.9996298,0.000007741726,0.00004488058,0.0002259887,0.00004019009,0.00005137513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003851787,0.0001606936,0.8458874,0.00001431806,0.0001518834,0.00004412378,0.002581126,0.04088442,0.1038332,0.0003247083,0.001211191,0.00452182],"study_design_scores_gemma":[0.001722317,0.0003663794,0.9408697,0.000003562049,0.00003598394,0.0001253486,0.0007549725,0.0009578371,0.02805966,0.00007755191,0.02671033,0.0003162775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949883,0.0003695549,0.003651925,0.0003085525,0.000175586,0.0001538542,0.0000116523,0.000005734812,0.000334833],"genre_scores_gemma":[0.9967597,0.00001735181,0.001984003,0.0008025598,0.00008414137,0.00001594131,0.0001382644,0.0000111945,0.0001869047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09498244,"threshold_uncertainty_score":0.3170367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007391407704925649,"score_gpt":0.2238782352944733,"score_spread":0.2164868275895476,"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."}}