{"id":"W3131503094","doi":"10.1007/s10530-021-02484-w","title":"Trait positions for elevated invasiveness in adaptive ecological networks","year":2021,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Division of Materials Research; Natural Environment Research Council; Ernest Oppenheimer Memorial Trust; KU Leuven; University of Vermont; National Research Foundation; Sight Research UK; Universiteit Stellenbosch","keywords":"Biology; Trait; Ecology; Ecological network; Propagule pressure; Ecological niche; Range (aeronautics); Evolutionary dynamics; Niche; Nestedness; Trophic level; Evolutionary ecology; Introduced species; Ecosystem; Evolutionary biology; Biodiversity; Host (biology); Biological dispersal; Habitat; Population; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669119,0.0001632427,0.0002979439,0.00001004119,0.0003578774,0.00003097359,0.0001811197,0.0002497805,0.0004220378],"category_scores_gemma":[0.0003497257,0.00005887522,0.0001677717,0.0004461579,0.0001054096,0.00004745287,0.0001412116,0.0001699823,0.00001433269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003044187,"about_ca_system_score_gemma":0.00001405482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000406686,"about_ca_topic_score_gemma":0.00421051,"domain_scores_codex":[0.9986947,0.0001484401,0.0002569158,0.0004073413,0.00007137794,0.0004211784],"domain_scores_gemma":[0.9983582,0.001358871,0.00005136174,0.00002430668,0.0001031341,0.0001041517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003335614,0.00182025,0.0657751,0.000005809455,0.00007395437,0.0002375568,0.00004659973,0.0001334819,0.8810442,0.03605642,0.002794215,0.01167885],"study_design_scores_gemma":[0.0002513545,0.0006219708,0.9882373,0.00003065729,0.00001015192,0.00001910654,0.000381624,0.0002413847,0.001574029,0.003521988,0.004872694,0.0002377829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960716,0.0003684174,0.00006781958,0.002039335,0.00006333388,0.0003094985,0.0003283692,0.00007891295,0.0006726926],"genre_scores_gemma":[0.9978115,0.0003303594,0.0002983922,0.000757627,0.0001820212,0.0001623671,0.0003638177,7.525652e-7,0.0000931465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9224622,"threshold_uncertainty_score":0.4621018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3142873309096885,"score_gpt":0.2511414242235939,"score_spread":0.06314590668609454,"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."}}