{"id":"W2935803744","doi":"10.1016/j.ympev.2019.04.010","title":"The genetic structure of flax illustrates environmental and anthropogenic selections that gave rise to its eco-geographical adaptation","year":2019,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Germplasm; Temperate climate; Adaptation (eye); Genetic structure; Population; Genetic variation; Mediterranean climate; Genetic variability; Ecology; Genotype; Botany; Genetics; Demography","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":[0.0001763124,0.0002217855,0.000206864,0.002056225,0.0008197493,0.0004118432,0.0002653016,0.0005157723,0.002003011],"category_scores_gemma":[0.0002584779,0.0001679603,0.000201565,0.001645523,0.0006040671,0.0003494518,0.0004188617,0.000655606,0.0002993288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006369417,"about_ca_system_score_gemma":0.0002241187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662535,"about_ca_topic_score_gemma":0.009735676,"domain_scores_codex":[0.9998788,0.00001977911,0.000008215209,0.00005636887,0.00001208396,0.000024777],"domain_scores_gemma":[0.9996955,0.0001051872,0.00008996206,0.00002711147,0.00004226631,0.00003993814],"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":[0.000333307,0.00003876739,0.04144548,0.00006051839,0.00003329777,0.0003681089,0.0009720772,0.0004088618,0.9403384,0.001503061,0.00009065578,0.01440741],"study_design_scores_gemma":[0.00001364406,0.0001113571,0.9738174,0.00002619449,0.00004145972,0.0008669636,0.00057716,0.0008307577,0.01839781,0.0008279404,0.004460782,0.00002849691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944096,0.0002530412,0.001572433,0.0000968487,0.000004207056,0.00001044598,0.0003591437,0.0000260351,0.003268377],"genre_scores_gemma":[0.9971026,0.0001032835,0.0012722,0.00006335968,0.00000830934,0.0000123155,0.0004319381,0.00002135339,0.0009847108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004662535,"threshold_uncertainty_score":0.009270787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044184998381,"score_gpt":0.1884742011808118,"score_spread":0.1834300161824308,"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."}}