{"id":"W2903408455","doi":"10.3389/fpls.2018.01698","title":"Geography and Environment Shape Landscape Genetics of Mediterranean Alpine Species Silene ciliata Poiret. (Caryophyllaceae)","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Ministerio de Ciencia e Innovación; Comunidad de Madrid","keywords":"Genetic structure; Silene; Ecology; Isolation by distance; Biology; Population; Population genetics; Genetic variation; Ciliata; Gene flow; Geography; Botany; Genetics","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":[0.0001242205,0.00009521967,0.00009899665,0.0005139342,0.0002444516,0.0003046252,0.00008819958,0.0001184117,0.0008148316],"category_scores_gemma":[0.0002278382,0.000062085,0.0001189024,0.0003988173,0.0001663183,0.0001499716,0.0001891405,0.0001152642,0.00007478287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664586,"about_ca_system_score_gemma":0.0001146886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447698,"about_ca_topic_score_gemma":0.007079653,"domain_scores_codex":[0.9999328,0.00001903857,0.0000051237,0.00002369677,0.00001042331,0.00000895122],"domain_scores_gemma":[0.9998976,0.00001929336,0.00004485139,0.0000065124,0.00001666998,0.0000150349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001575373,0.00009153158,0.8253229,0.0000968719,0.0001915002,0.000564264,0.001976756,0.0009145523,0.1379751,0.0007273297,0.0002211513,0.03176044],"study_design_scores_gemma":[0.000002110206,0.00001475193,0.9985892,0.000002973824,0.00001178968,0.00009933725,0.0001523898,0.000481583,0.0002745249,0.000126713,0.000241634,0.000002884961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999191,0.0001043708,0.0002012577,0.00001258463,9.739235e-7,0.000001305117,0.00003767752,0.00000295087,0.0004479233],"genre_scores_gemma":[0.9996448,0.00004436116,0.000136524,0.000004623862,0.000001369918,0.000001018771,0.0000490912,0.000001168771,0.0001170999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002447698,"threshold_uncertainty_score":0.004866958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366145141236407,"score_gpt":0.2002518799984053,"score_spread":0.1908857348571689,"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."}}