{"id":"W1541080281","doi":"10.1111/j.1558-5646.2011.01440.x","title":"PARALLEL AND NONPARALLEL ASPECTS OF ECOLOGICAL, PHENOTYPIC, AND GENETIC DIVERGENCE ACROSS REPLICATE POPULATION PAIRS OF LAKE AND STREAM STICKLEBACK","year":2011,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute; University of California, Davis; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Human Genome Research Institute; Howard Hughes Medical Institute; David and Lucile Packard Foundation","keywords":"Stickleback; Gasterosteus; Biology; Parallel evolution; Ecological speciation; Divergence (linguistics); Ecology; Natural selection; Replicate; Selection (genetic algorithm); Habitat; Trait; Genetic divergence; Population; Evolutionary biology; Genetic variation; Gene flow; Fish <Actinopterygii>; Genetic diversity; Phylogenetics; Statistics; 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":[0.00006170313,0.00008835563,0.0001207465,0.0000179687,0.00006930017,0.000004691708,0.00005147933,0.0001217421,0.00002862548],"category_scores_gemma":[0.00003510149,0.00008427615,0.00002133472,0.000040878,0.0001493648,0.000006159402,0.0001143087,0.00003331362,5.094154e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000354337,"about_ca_system_score_gemma":0.000008638234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001476219,"about_ca_topic_score_gemma":0.0004971642,"domain_scores_codex":[0.9993892,0.00003419682,0.0001640309,0.0002352723,0.00006885607,0.0001084048],"domain_scores_gemma":[0.9996101,0.000006255954,0.00013081,0.0001462114,0.00005621837,0.00005039127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150842,0.00004982336,0.9728577,0.00005960719,0.00003530318,8.398902e-7,0.0003417947,0.000221497,0.02317903,0.001002267,0.00006461878,0.002036742],"study_design_scores_gemma":[0.0003585124,0.0002315861,0.9949699,0.000006747945,0.00002505566,0.000008226562,0.0001218679,0.0001516077,0.001559361,0.00239819,0.00008100667,0.00008792987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975559,0.0005265509,0.001513065,0.00001311214,0.00003826829,0.0001303955,0.00004527424,0.000004847333,0.0001725485],"genre_scores_gemma":[0.9949489,0.0002964152,0.004636827,0.00001121627,0.00001854965,0.000002114662,0.00003913443,0.000003973054,0.00004287072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02211228,"threshold_uncertainty_score":0.3436682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169905031552878,"score_gpt":0.2333616640497351,"score_spread":0.2163711608944473,"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."}}