{"id":"W2029541767","doi":"10.3897/neobiota.21.5310","title":"Quantifying the invasiveness of species","year":2014,"lang":"en","type":"article","venue":"NeoBiota","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; DST-NRF Centre of Excellence for Invasion Biology; Division of Materials Research; Akademie Věd České Republiky; Ecological Society of America; Department of Science and Technology, Ministry of Science and Technology, India; Grantová Agentura České Republiky; National Research Foundation; National Science Foundation","keywords":"Biology; Intraspecific competition; Ecology; Invasive species; Interspecific competition; Range (aeronautics); Introduced species; Resistance (ecology); Limiting; Sympatric speciation; Evolutionary biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651385,0.0005671805,0.0003763429,0.002343112,0.000317672,0.0008310839,0.0004266221,0.0006075302,0.001622917],"category_scores_gemma":[0.007329152,0.0001966045,0.0003889498,0.00142498,0.0006344531,0.00148034,0.001105964,0.0005691987,0.0003027609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282255,"about_ca_system_score_gemma":0.0001280689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432326,"about_ca_topic_score_gemma":0.0025485,"domain_scores_codex":[0.9990772,0.0001983492,0.00005677464,0.000327182,0.0002798082,0.00006067815],"domain_scores_gemma":[0.9950866,0.002421546,0.001348588,0.0004918184,0.0004192536,0.000232201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002242227,0.0001320453,0.8313534,0.0005188946,0.001149228,0.0002637876,0.001300681,0.02561938,0.04731414,0.005512046,0.001595512,0.08501672],"study_design_scores_gemma":[0.000008648815,0.0002499928,0.9473957,0.00007632913,0.000244147,0.0009374816,0.0008137283,0.03573375,0.007799543,0.003662197,0.003019973,0.0000584577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827815,0.0008937856,0.00846118,0.0001190804,0.00003734324,0.00002312582,0.0007193025,0.00007124925,0.00689344],"genre_scores_gemma":[0.9970509,0.0001490624,0.001827329,0.00002619322,0.00001259461,0.00001164428,0.0004416551,0.000008175412,0.0004724544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002343112,"threshold_uncertainty_score":0.008733511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705523004271279,"score_gpt":0.2432431404837623,"score_spread":0.2161879104410495,"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."}}