{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887143,0.00009764513,0.0003680893,0.00009023367,0.0001416947,0.000007292914,0.0001647348,0.00005146801,0.000727816],"category_scores_gemma":[0.00003828869,0.00004161219,0.00006925986,0.0003205465,0.0001023063,0.00002429524,0.0004312128,0.0001360855,0.000001742212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009705663,"about_ca_system_score_gemma":0.000004401044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007226043,"about_ca_topic_score_gemma":0.01089668,"domain_scores_codex":[0.998719,0.0005155254,0.0002327472,0.0002415028,0.00009878165,0.0001924224],"domain_scores_gemma":[0.9994863,0.0003414186,0.00009744441,0.00003150858,0.00002116065,0.00002214738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009395264,0.0000932744,0.6026,0.000001650795,0.0001441172,0.00002690823,0.003082861,0.002703276,0.3907521,0.000205104,0.000002355899,0.0002943633],"study_design_scores_gemma":[0.0002823772,0.000295841,0.9927229,0.000001088202,0.00003531122,0.000001461485,0.00161252,0.002804947,0.001431798,0.0006917877,0.00002925168,0.00009071347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990193,0.0001260407,0.00001443284,0.0003936279,0.00002458847,0.0002011531,0.00007033451,0.000005305799,0.0001451671],"genre_scores_gemma":[0.9996413,0.00001107596,0.00005593402,0.0002008003,0.000008871245,0.00001449346,0.00005814836,3.907765e-7,0.000008957378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3901229,"threshold_uncertainty_score":0.7969075,"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."}}