{"id":"W2555819112","doi":"10.1038/srep37712","title":"Inter-annual maintenance of the fine-scale genetic structure in a biennial plant","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security","funders":"Fundação para a Ciência e a Tecnologia; Agence Nationale de la Recherche","keywords":"Genetic structure; Biology; Biological dispersal; Gene flow; Genetic variation; Population; Seed dispersal; Spatial ecology; Evolutionary biology; Ecology; Gene; Genetics; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002073524,0.00009859983,0.0001373922,0.0005378426,0.0002562663,0.0003078678,0.0001853033,0.000152125,0.0004901369],"category_scores_gemma":[0.0003861899,0.0001128259,0.0001397557,0.0004186041,0.0003107859,0.0002067822,0.000272295,0.0001668444,0.0001449095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026793,"about_ca_system_score_gemma":0.0001684543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154044,"about_ca_topic_score_gemma":0.003062201,"domain_scores_codex":[0.9998976,0.0000134016,0.000006510264,0.00005174108,0.00001745432,0.00001327171],"domain_scores_gemma":[0.9995686,0.00007841663,0.0001842797,0.00007210518,0.00004846864,0.00004797363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001492366,0.00007373724,0.3360876,0.00007912963,0.0001111211,0.0001507922,0.0009946595,0.001135745,0.6305326,0.0006332636,0.00006680824,0.02998539],"study_design_scores_gemma":[0.00000375754,0.00006632611,0.992819,0.000004517777,0.00001825212,0.0001942648,0.0001512273,0.0009421099,0.005047261,0.0003136068,0.0004312109,0.00000845745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984989,0.00009935744,0.001136138,0.000006041891,9.689204e-7,0.000002293904,0.00003533595,0.000009385284,0.000211548],"genre_scores_gemma":[0.9990793,0.00004171778,0.0006559176,0.000004258587,0.000001383331,0.000002444344,0.00008313377,0.000002162325,0.0001295313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154044,"threshold_uncertainty_score":0.002294719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005069110064205531,"score_gpt":0.1992575495076281,"score_spread":0.1941884394434226,"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."}}