{"id":"W2874993306","doi":"10.1186/s12862-018-1228-8","title":"Contemporary ancestor? Adaptive divergence from standing genetic variation in Pacific marine threespine stickleback","year":2018,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary; Ambrose University","funders":"Natural Sciences and Engineering Research Council of Canada; National Park Service; Alberta Innovates; Killam Trusts; Alberta Innovates - Technology Futures; Western Canada Research Grid; Compute Canada","keywords":"Stickleback; Biology; Ancestor; Divergence (linguistics); Evolutionary biology; Variation (astronomy); Most recent common ancestor; Adaptation (eye); Genetic variation; Zoology; Ecology; Fishery; Fish <Actinopterygii>; Phylogenetics; Geography; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003043625,0.0001670277,0.0001678189,0.0007179518,0.0006456203,0.0006080197,0.0002506136,0.0002677619,0.001691756],"category_scores_gemma":[0.0008772479,0.00008907668,0.0001558001,0.0007358441,0.0006457849,0.0002986942,0.0004350531,0.0003693982,0.0000760583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868856,"about_ca_system_score_gemma":0.0002013375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009553848,"about_ca_topic_score_gemma":0.01380139,"domain_scores_codex":[0.9998767,0.00001579908,0.000008918016,0.00005861692,0.00002164283,0.00001825163],"domain_scores_gemma":[0.9996358,0.00009336557,0.0001299158,0.0000295583,0.00004656014,0.00006476774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484702,0.00002574296,0.9681783,0.00004168195,0.0001613933,0.0001934191,0.002098632,0.0003073981,0.01707093,0.0006271868,0.0001179785,0.01102882],"study_design_scores_gemma":[0.000002812157,0.00001768674,0.9987994,0.000006769615,0.00001708571,0.00006485973,0.0003316516,0.0002963875,0.0001379503,0.000225073,0.0000963049,0.000003961664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995918,0.00004607407,0.0001362436,0.00001399495,0.000001489829,0.000001035804,0.00002978962,0.000002561513,0.0001770301],"genre_scores_gemma":[0.9997588,0.0000258893,0.0001027834,0.000009944425,0.00000197657,0.000001261055,0.00006166187,0.000001139042,0.00003643699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009553848,"threshold_uncertainty_score":0.01899648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453758756991606,"score_gpt":0.253702176342999,"score_spread":0.219164588773083,"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."}}