{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003393781,0.0001355928,0.00018124,0.0007289877,0.0002848684,0.0007572987,0.0002378822,0.0003414563,0.001728939],"category_scores_gemma":[0.003126188,0.0001212671,0.0001767871,0.0003892196,0.0006091839,0.0005360702,0.0005898075,0.0003243375,0.00009940664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691469,"about_ca_system_score_gemma":0.00009978786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006001462,"about_ca_topic_score_gemma":0.0007858824,"domain_scores_codex":[0.9998524,0.00004391312,0.000009676821,0.00004894305,0.00002233117,0.00002280502],"domain_scores_gemma":[0.9973597,0.001133312,0.0009364657,0.000156007,0.0001480149,0.0002665379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005560857,0.0001959311,0.6567943,0.0002057578,0.0002856065,0.001062321,0.001604598,0.08745867,0.1746465,0.05521527,0.0005007085,0.02147428],"study_design_scores_gemma":[0.00003656591,0.0002941835,0.5398307,0.00002400037,0.00008540388,0.001644068,0.0009947207,0.3876589,0.007828499,0.06077709,0.0007459363,0.00007989151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940389,0.00001548957,0.00534997,0.00002705763,9.561464e-7,0.000002248041,0.00003262616,0.00001872402,0.0005140112],"genre_scores_gemma":[0.9995271,0.000003384501,0.0004093744,0.000002070043,5.54345e-7,0.000001650909,0.00001186433,0.000001260525,0.00004278405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001728939,"threshold_uncertainty_score":0.005783916,"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."}}