{"id":"W2949356221","doi":"10.1111/eva.12766","title":"Population structure, genetic connectivity, and adaptation in the Olympia oyster ( <i>Ostrea lurida</i> ) along the west coast of North America","year":2019,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Postsecondary Education; Directorate for Biological Sciences; European Bioinformatics Institute; University of Chicago","keywords":"Biology; Oyster; Population; Adaptation (eye); Phylogeography; Fishery; Local adaptation; Ecology; Population genetics; Population structure; Demography; Phylogenetics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542582,0.0001300961,0.0001890971,0.0009349042,0.0004453685,0.0004026128,0.0002179607,0.000170499,0.0005112321],"category_scores_gemma":[0.0004505453,0.0001170275,0.0001502482,0.0006615439,0.0004430017,0.0001601193,0.0003049975,0.0002183374,0.0000424128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546366,"about_ca_system_score_gemma":0.0003620124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09109402,"about_ca_topic_score_gemma":0.1796726,"domain_scores_codex":[0.9998569,0.00002150948,0.000008885072,0.00006916776,0.00002372007,0.00001974847],"domain_scores_gemma":[0.9996033,0.00008158663,0.0001290289,0.00001765438,0.00009371759,0.00007477199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008015164,0.00003117805,0.9866413,0.00001436547,0.0001049053,0.00006901653,0.0007460777,0.0002849386,0.008758071,0.00004621979,0.00008924422,0.003134536],"study_design_scores_gemma":[0.00000208416,0.00001080475,0.9994619,0.000002385077,0.000007084045,0.00001331077,0.0001969551,0.0002065132,0.00003671355,0.00001169815,0.00004933888,0.00000124854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997944,0.00001744781,0.0000401683,0.000006456963,4.624992e-7,0.000001637771,0.00004258951,0.000001138114,0.00009572072],"genre_scores_gemma":[0.999622,0.00002300286,0.000115732,0.000008538138,0.000001080251,0.000004247009,0.0001478794,0.000001029006,0.00007655833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09109402,"threshold_uncertainty_score":0.1811276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006518511097214161,"score_gpt":0.207496949342601,"score_spread":0.2009784382453869,"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."}}