{"id":"W1896208365","doi":"10.1007/s10530-015-0959-3","title":"Determinants of rapid response success for alien invasive species in aquatic ecosystems","year":2015,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Canada Research Chairs","keywords":"Biology; Invasive species; Habitat; Ecology; Convention on Biological Diversity; Ecosystem; Aquatic ecosystem; Temperate climate; Abundance (ecology); Environmental resource management; Population; Biodiversity; Environmental health; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001056678,0.0001441201,0.0003352202,0.00006007415,0.00008748434,0.000006475592,0.0003364906,0.0002597609,0.001074741],"category_scores_gemma":[0.001536848,0.0001065827,0.00007461147,0.0001947848,0.0005703281,0.00009548508,0.0002963964,0.0001017875,0.0002171972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175407,"about_ca_system_score_gemma":0.00002517515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006298871,"about_ca_topic_score_gemma":0.002050432,"domain_scores_codex":[0.9983659,0.0004261816,0.000421095,0.0003361146,0.0001076102,0.0003430708],"domain_scores_gemma":[0.9982337,0.001243297,0.0001468706,0.000218035,0.000003800173,0.0001542489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000573256,0.0003454855,0.8910066,0.000006329198,0.000004943135,0.00001966133,0.0002130726,0.0001434435,0.1055853,0.00007697328,0.001718474,0.0003064186],"study_design_scores_gemma":[0.001802168,0.003262688,0.8676895,0.0000407835,0.00001327378,0.00003225097,0.0008226745,0.0005547732,0.1138899,0.002805872,0.008732102,0.0003540232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971308,0.00005582458,0.00003107321,0.0001674283,0.0001688268,0.000599388,0.00003718836,0.00001566805,0.001793833],"genre_scores_gemma":[0.9983273,0.00005027196,0.0006024134,0.000250875,0.00002116636,0.0001698015,0.00001204948,0.000007258323,0.0005589342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02331708,"threshold_uncertainty_score":0.9998384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2236219749328716,"score_gpt":0.2972873720284784,"score_spread":0.07366539709560682,"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."}}