{"id":"W4410776681","doi":"10.1111/gcb.70267","title":"Invasive Fish Reshape Biodiversity Patterns in China's Freshwater Lakes","year":2025,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Earmarked Fund for China Agriculture Research System; National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Biodiversity; Species richness; Introduced species; Ecology; Biodiversity hotspot; Phylogenetic diversity; Invasive species; Geography; Species diversity; Extinction (optical mineralogy); Ecosystem; Freshwater fish; Biology; Fishery; Phylogenetic tree; Fish <Actinopterygii>","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":[0.0003880596,0.0002004121,0.0002243609,0.001625868,0.0004898614,0.000388569,0.0002465716,0.0001462213,0.0006083957],"category_scores_gemma":[0.0004914061,0.0001347735,0.0003108825,0.001292182,0.0005116403,0.0004930868,0.0007758178,0.0001335774,0.00005056817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000765312,"about_ca_system_score_gemma":0.0005619143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02759213,"about_ca_topic_score_gemma":0.07681458,"domain_scores_codex":[0.9997736,0.00004409939,0.00001736035,0.0000655805,0.00003816655,0.00006117113],"domain_scores_gemma":[0.9997504,0.00004124942,0.00008703061,0.00002696276,0.00004578884,0.00004852574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004901941,0.00001549234,0.983907,0.00003894818,0.00007088633,0.0001079971,0.001119942,0.0007537698,0.003218714,0.0002214168,0.0001913789,0.0103055],"study_design_scores_gemma":[0.000001018767,0.00000659077,0.9986331,0.000003126517,0.000007804074,0.0000145541,0.0003196369,0.0007676565,0.0000595521,0.00006191269,0.0001216848,0.000003415733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999594,0.0000544459,0.00006503029,0.00001463362,5.75354e-7,0.000002257085,0.00006784029,0.00000331809,0.0001978075],"genre_scores_gemma":[0.9996655,0.00003299805,0.00008056027,0.000008168245,0.00000110645,0.000003435483,0.0001088786,0.000001026067,0.00009827132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759213,"threshold_uncertainty_score":0.05486304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733277806453807,"score_gpt":0.2357685045551122,"score_spread":0.2184357264905741,"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."}}