{"id":"W2106700562","doi":"10.1111/mec.13032","title":"What we still don't know about invasion genetics","year":2014,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":457,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Human evolutionary genetics; Evolutionary biology; Genetic drift; Population genetics; Genetic variation; Population; Microevolution; Ecological genetics; Genetic diversity; Trait; Natural selection; Adaptation (eye); Variation (astronomy); Propagule pressure; Balancing selection; Quantitative genetics; Population genomics; Ecology; Biological dispersal; Genetics; Genomics; Demography; Phylogenetics; Genome; Gene","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":[0.001650312,0.0009634473,0.001454142,0.002143789,0.0006941659,0.002644537,0.001359763,0.00326585,0.003827728],"category_scores_gemma":[0.00303149,0.0003820416,0.0005696347,0.002201384,0.002638332,0.006770091,0.001260963,0.004518587,0.002707421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519398,"about_ca_system_score_gemma":0.002449875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263271,"about_ca_topic_score_gemma":0.001794629,"domain_scores_codex":[0.9994804,0.0001042209,0.00005081618,0.0001294576,0.0001836109,0.00005153742],"domain_scores_gemma":[0.9974847,0.001454496,0.000166824,0.00008910952,0.0005704312,0.0002344005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003660755,0.00004724682,0.0003218414,0.009231021,0.0000706956,0.0001755794,0.0002322237,0.0004528053,0.0009391319,0.01882545,0.07091083,0.8987566],"study_design_scores_gemma":[0.000004068558,0.00003044666,0.0005723184,0.003345132,0.00002909253,0.0006337265,0.000144368,0.00006406906,0.0001542848,0.01090773,0.9840911,0.00002352449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006790153,0.9936935,0.0002321436,0.004053658,0.000902871,0.000001425621,0.00001029113,0.00001088822,0.001027318],"genre_scores_gemma":[0.0008278742,0.9946361,0.0002973501,0.00237068,0.001033797,0.00000390799,0.00001814901,0.000004911482,0.0008071906],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003827728,"threshold_uncertainty_score":0.01280499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191912331712049,"score_gpt":0.2815384468468985,"score_spread":0.2623472136756936,"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."}}