{"id":"W4292551349","doi":"10.1111/mec.16664","title":"Genetic variation and clonal diversity in floating aquatic plants: Comparative genomic analysis of water hyacinth species in their native range","year":2022,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Consejo Nacional de Investigaciones Científicas y Técnicas; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Eichhornia crassipes; Biology; Hyacinth; Genetic diversity; Range (aeronautics); Genetic variation; Biological dispersal; Nucleotide diversity; Genetic structure; Ecology; Evolutionary biology; Aquatic plant; Genotype; Population; Genetics; Gene; Macrophyte","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":[0.0001672244,0.0001130585,0.0001545142,0.001384964,0.0002867138,0.0002860921,0.0001801855,0.0001719712,0.0005535508],"category_scores_gemma":[0.0004443571,0.00009206172,0.0001610082,0.0009195222,0.0003208732,0.000211789,0.0003941826,0.0001628786,0.00006523213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202449,"about_ca_system_score_gemma":0.0001071146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840679,"about_ca_topic_score_gemma":0.007983443,"domain_scores_codex":[0.9998831,0.00001621413,0.000009246553,0.00005229355,0.00002463275,0.00001447358],"domain_scores_gemma":[0.9996657,0.00008766547,0.0001228217,0.0000249786,0.00004732499,0.00005149981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002250549,0.00004949736,0.7516202,0.0001100629,0.0001895744,0.0002024271,0.002856106,0.0003404187,0.2323684,0.00020575,0.0000494815,0.01178304],"study_design_scores_gemma":[0.000002633526,0.0000239104,0.9987575,0.000003720227,0.00001041562,0.0000923245,0.0002444874,0.0001937135,0.0005225888,0.0000266964,0.0001200811,0.000001983822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997455,0.00003762311,0.00005321596,0.000002098819,1.809646e-7,0.000001590315,0.00005749487,0.000001048343,0.0001012369],"genre_scores_gemma":[0.999353,0.00004003387,0.0002516756,0.000006161595,0.000001097528,0.000006207878,0.0002710392,0.000001434141,0.00006928801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003840679,"threshold_uncertainty_score":0.007636666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158810338717715,"score_gpt":0.2066304085112972,"score_spread":0.17504230512412,"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."}}