{"id":"W4402689539","doi":"10.3391/ai.2024.19.3.125642","title":"Long-term evaluation of the impact of urbanization on native and non-native fish assemblages","year":2024,"lang":"en","type":"article","venue":"Aquatic Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Government of Canada; Toronto and Region Conservation Authority; McMaster University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Alberta Biodiversity Monitoring Institute; Ministry of Natural Resources","keywords":"Biology; Urbanization; Fish <Actinopterygii>; Introduced species; Aquatic animal; Invasive species; Ecology; Term (time); Fishery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008532726,0.0002193486,0.000260734,0.0006446237,0.0005598563,0.0004971078,0.0003357931,0.0002319271,0.0007721548],"category_scores_gemma":[0.002228704,0.000139571,0.0003527621,0.0010151,0.0004561004,0.0005121825,0.0005772854,0.000309543,0.0001390465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002607,"about_ca_system_score_gemma":0.00186162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5289963,"about_ca_topic_score_gemma":0.8018996,"domain_scores_codex":[0.9996202,0.00006224007,0.0000216334,0.00009568032,0.00009372667,0.0001064386],"domain_scores_gemma":[0.9981233,0.0002883932,0.0004909384,0.000125752,0.0006495822,0.000322031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006120108,0.00001361252,0.9962828,0.00001632955,0.00006775118,0.00005751564,0.0003063102,0.0003640181,0.0007350153,0.00003021568,0.0001482813,0.001916894],"study_design_scores_gemma":[4.254742e-7,0.000009216921,0.9994686,0.000001933118,0.000005427057,0.000007133018,0.0001671265,0.0001833702,0.00003704002,0.000003358024,0.0001151764,0.000001142044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985153,0.0001123908,0.0001077449,0.00003542568,0.000002239166,0.00000443078,0.0009226555,0.000003183856,0.0002965754],"genre_scores_gemma":[0.9981674,0.00006018005,0.0001104444,0.000007421439,0.000002860469,0.00000700532,0.001335974,0.000001646024,0.0003070182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5289963,"threshold_uncertainty_score":0.9475549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820959284393109,"score_gpt":0.3038757958938495,"score_spread":0.2656662030499184,"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."}}