{"id":"W2946436119","doi":"10.1111/fwb.13312","title":"Unravelling the global invasion routes of a worldwide invader, the red swamp crayfish (<i>Procambarus clarkii</i>)","year":2019,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia de Innovación y Desarrollo de Andalucía; Centre National de la Recherche Scientifique; North Carolina Museum of Natural Sciences; Pacific Institute for Climate Solutions","keywords":"Procambarus clarkii; Biology; Swamp; Ecology; Crayfish; Invasive species; Haplotype; Range (aeronautics); Genetic diversity; Genetic structure; Introduced species; Phylogeography; Population; Phylogenetic tree; Zoology; Genetic variation; Genetics; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884004,0.000172274,0.0001366139,0.0007677507,0.0002654838,0.0003707605,0.0001304363,0.0001313672,0.000518426],"category_scores_gemma":[0.0003334908,0.0001007492,0.0001328617,0.0004102087,0.0002662244,0.0003774292,0.0003192185,0.0002523311,0.00005317154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827176,"about_ca_system_score_gemma":0.0002621553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204045,"about_ca_topic_score_gemma":0.02118115,"domain_scores_codex":[0.9999298,0.00001388434,0.000005037866,0.0000275824,0.000008156748,0.00001565908],"domain_scores_gemma":[0.9997416,0.00004552327,0.0001206126,0.00001456426,0.00003402072,0.00004372681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008278541,0.00002827626,0.9602206,0.00005228998,0.00005824331,0.0001914451,0.001064885,0.0005440927,0.02294209,0.000161392,0.00008199434,0.014572],"study_design_scores_gemma":[0.000002521229,0.00003362145,0.9978139,0.00001213854,0.00001708724,0.0001099805,0.0006774801,0.0007099443,0.0002966272,0.000054165,0.0002690133,0.000003335556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996357,0.00006757405,0.0001390135,0.000009111202,5.381732e-7,0.000001591205,0.00001991123,0.000001787549,0.0001245982],"genre_scores_gemma":[0.9995191,0.00005828185,0.0003220034,0.000003590269,0.000001275653,0.000001744875,0.00004798745,9.809579e-7,0.00004508713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204045,"threshold_uncertainty_score":0.02394074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255663498468361,"score_gpt":0.2214774012833554,"score_spread":0.2089207662986718,"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."}}