{"id":"W2967058190","doi":"10.1002/ece3.5378","title":"Genome‐wide association analyses reveal polygenic genomic architecture underlying divergent shell morphology in Spanish<i>Littorina saxatilis</i>ecotypes","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministerio de Economía y Competitividad; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Ecotype; Local adaptation; Quantitative trait locus; Gene flow; Genetic architecture; Evolutionary biology; Genetics; Population; Genetic variation; Gene","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":[0.0001970075,0.000122397,0.0001748048,0.00009219139,0.0001088323,0.00001045653,0.00009321256,0.0003289506,0.00007016146],"category_scores_gemma":[0.00012153,0.000131556,0.00006609289,0.00007594224,0.00003027592,0.000005965322,0.00008225005,0.000110315,0.00002236442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171396,"about_ca_system_score_gemma":0.00006079401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000058958,"about_ca_topic_score_gemma":0.0005355118,"domain_scores_codex":[0.9990575,0.0001124026,0.0001799963,0.0003362989,0.0000602447,0.000253569],"domain_scores_gemma":[0.9995725,0.00006169502,0.0001358697,0.0001396694,0.00004580179,0.00004451961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009795954,0.00001585638,0.831449,0.0000191588,0.00005668649,5.9447e-7,0.00009581415,0.003196376,0.164757,0.00004733707,0.0002067843,0.00005741182],"study_design_scores_gemma":[0.0006667292,0.0001937368,0.9944099,0.000002641852,0.00004329979,0.00000563633,0.0001050849,0.00003970188,0.0006989376,0.001011345,0.00268696,0.0001360304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974602,0.0006884673,0.000613081,0.0002695209,0.0004508525,0.0002629588,0.00003001187,0.000008110777,0.0002167688],"genre_scores_gemma":[0.9975151,0.0001098563,0.0004583904,0.0002559077,0.0000941875,0.000008223655,0.0002376948,0.000008115342,0.001312489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1640581,"threshold_uncertainty_score":0.5364696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436053938953218,"score_gpt":0.2472330670426606,"score_spread":0.2328725276531284,"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."}}