{"id":"W3017608860","doi":"10.1111/eva.12982","title":"Evolution and genetics of bighead and silver carps: Native population conservation versus invasive species control","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Biological Infrastructure; National Natural Science Foundation of China-Yunnan Joint Fund","keywords":"Biology; Invasive species; Introduced species; Population genetics; Conservation genetics; Population; Conservation biology; Evolutionary biology; Ecology; Zoology; Microsatellite; Genetics; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005317402,0.0003162768,0.0002344646,0.001614565,0.0003926526,0.0006934396,0.0004744608,0.0005163225,0.001023089],"category_scores_gemma":[0.0005086401,0.0002073043,0.0002971432,0.0005907504,0.001149748,0.0004395254,0.0006332452,0.0002790172,0.0001243644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201696,"about_ca_system_score_gemma":0.0003547399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00384204,"about_ca_topic_score_gemma":0.008220163,"domain_scores_codex":[0.999544,0.00006359973,0.00002881584,0.0002422041,0.00006838578,0.00005291533],"domain_scores_gemma":[0.9994932,0.00007252013,0.00022957,0.00003122361,0.00005773665,0.0001155626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000536714,0.0001822958,0.7903997,0.0001446734,0.0002942767,0.0007708723,0.002667999,0.0004284282,0.173486,0.001435694,0.0002045668,0.02944882],"study_design_scores_gemma":[0.000009588898,0.00007336609,0.9977618,0.000009642094,0.00003357663,0.0004122034,0.0004001388,0.0002767743,0.0004815586,0.0002294146,0.000300677,0.00001113438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990911,0.0003257624,0.00008933512,0.00003699059,0.000002262241,0.000002365447,0.00001381255,0.000004613709,0.0004337137],"genre_scores_gemma":[0.9989955,0.0001969025,0.0001959554,0.00005067637,0.000008840025,0.000007320563,0.00004528789,0.000004928024,0.0004946178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00384204,"threshold_uncertainty_score":0.007639349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738515605287444,"score_gpt":0.2202228267142488,"score_spread":0.2028376706613743,"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."}}