{"id":"W2060851894","doi":"10.1007/s10530-013-0438-7","title":"Using a unified invasion framework to characterize Africa’s first loricariid catfish invasion","year":2013,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"South African Institute for Aquatic Biodiversity; Department of Science and Technology, Ministry of Science and Technology, India; University of Guelph","keywords":"Biology; Invasive species; Juvenile; Catfish; Type locality; Population; DNA barcoding; Ecology; Reproduction; Introduced species; Fishery; Zoology; Fish <Actinopterygii>; Taxonomy (biology); Demography","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":[0.0007662157,0.0004751447,0.0002457364,0.001737764,0.001095889,0.002013385,0.0004499144,0.0004827429,0.002503],"category_scores_gemma":[0.001339045,0.0001049465,0.0005671681,0.00100207,0.001204914,0.001562742,0.001329463,0.0007327086,0.00009556233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664424,"about_ca_system_score_gemma":0.001472621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584901,"about_ca_topic_score_gemma":0.03900554,"domain_scores_codex":[0.9996945,0.00008018411,0.00001922632,0.00005374267,0.0000326939,0.0001198236],"domain_scores_gemma":[0.9995527,0.00009161096,0.0001776533,0.0000306815,0.00009207904,0.00005527987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001677204,0.0001496574,0.143787,0.0001921624,0.0002203947,0.001200724,0.004806635,0.05510196,0.01114597,0.7299202,0.002844515,0.05046312],"study_design_scores_gemma":[0.00005731757,0.0002927851,0.3109199,0.0002968999,0.0002722312,0.001750198,0.01358823,0.4105009,0.003296066,0.2192021,0.03967332,0.0001500726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707457,0.001047335,0.07474817,0.001434996,0.00006653494,0.0001269323,0.0004433716,0.0000787725,0.05130821],"genre_scores_gemma":[0.98663,0.0001495341,0.01164569,0.00004409074,0.00001000453,0.00003802164,0.0001018551,0.00001172952,0.001369104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02584901,"threshold_uncertainty_score":0.05139709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2325476226948544,"score_gpt":0.260087108589495,"score_spread":0.02753948589464064,"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."}}