{"id":"W4388765620","doi":"10.1016/j.jglr.2023.102257","title":"A simple method to genetically differentiate invasive F1 Typha hybrids (T. × glauca) and advanced-generation/backcrossed hybrids from parent species (T. Latifolia and T. angustifolia) in eastern Canada and northeastern USA","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hybrid; Biology; Introgression; Taxon; Invasive species; Range (aeronautics); Typha; Introduced species; Botany; Microsatellite; Genetic marker; Wetland; Ecology; Gene; Genetics; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.000345641,0.0004943883,0.0003053451,0.001352447,0.0005698194,0.0004431428,0.0004343037,0.0004898275,0.001786901],"category_scores_gemma":[0.0004918651,0.0002922865,0.0003166125,0.0004441608,0.0003982681,0.0002449936,0.0003866325,0.0007591712,0.0008605107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339546,"about_ca_system_score_gemma":0.0006525189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02916303,"about_ca_topic_score_gemma":0.1380972,"domain_scores_codex":[0.9996618,0.0000260888,0.00003014823,0.0001632944,0.00008524919,0.00003347323],"domain_scores_gemma":[0.9994255,0.0001023308,0.00009856944,0.00007462854,0.000186867,0.0001121513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008006625,0.00008753421,0.01318202,0.00005024323,0.00002693253,0.00007751855,0.000190492,0.00009466348,0.9710228,0.0001079911,0.0002699781,0.0148096],"study_design_scores_gemma":[0.0001775019,0.0009732532,0.6313469,0.00005130405,0.0003553696,0.00213828,0.0007262119,0.004849751,0.3417517,0.0004830524,0.01700704,0.0001395312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8842072,0.0005627439,0.1003975,0.0002079491,0.0001397059,0.0009890455,0.005215628,0.0008861524,0.007394079],"genre_scores_gemma":[0.7012463,0.0006830926,0.2716042,0.000379694,0.00003506777,0.001175762,0.007946319,0.000290511,0.01663913],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.970837,"threshold_uncertainty_score":0.05798656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686311288716425,"score_gpt":0.3154449750690847,"score_spread":0.2685818621819204,"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."}}