{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005974871,0.000186789,0.0002630101,0.00002096141,0.0001921513,0.00001300748,0.0007648811,0.0002692064,0.003522377],"category_scores_gemma":[0.00007493865,0.00009423891,0.0001009136,0.0002265077,0.0008455042,0.00006363661,0.0005545723,0.0002713368,0.001188662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008096411,"about_ca_system_score_gemma":0.00001803526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891231,"about_ca_topic_score_gemma":0.008137133,"domain_scores_codex":[0.9983273,0.0003371294,0.0003419193,0.000417521,0.00008791163,0.0004881885],"domain_scores_gemma":[0.9989738,0.0002628038,0.0001602057,0.0005413322,0.00001275126,0.0000490932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001157597,0.0000405038,0.9661028,0.000005446707,0.00003705419,0.000002700305,0.0003037976,0.0002338676,0.02146765,0.000991601,0.009884897,0.0008138628],"study_design_scores_gemma":[0.001272891,0.0006450175,0.4707099,0.00002206253,0.0000591053,0.00008136759,0.0006261535,0.001034129,0.01987793,0.03209454,0.4730924,0.0004844898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872484,0.0001733659,0.0001493859,0.00507097,0.0005977794,0.0004345031,0.00004176374,0.00003187781,0.006251933],"genre_scores_gemma":[0.9955477,0.00006355175,0.0002900444,0.002778959,0.00006797109,0.00002225151,0.00003743266,0.000009258914,0.001182854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495393,"threshold_uncertainty_score":0.999589,"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."}}