{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001677441,0.00003570112,0.00005797698,0.000006003052,0.0001175182,0.000003571895,0.0001211869,0.00002049649,0.000382737],"category_scores_gemma":[0.00006119205,0.00002289628,0.00002021904,0.00006338612,0.0002413495,0.00002794338,0.00009249034,0.00003887348,0.000152112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001006723,"about_ca_system_score_gemma":0.000001602135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003374113,"about_ca_topic_score_gemma":0.0007787988,"domain_scores_codex":[0.9996898,0.00003680074,0.00007298909,0.00007240177,0.00005709402,0.00007095691],"domain_scores_gemma":[0.9996889,0.0001461575,0.0000417248,0.0001105755,0.000004042899,0.000008570828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004171347,0.00002135633,0.9641425,0.000007804912,0.00001036988,2.92209e-7,0.0006762503,0.0009023563,0.01259895,0.01913141,0.0008527068,0.001651813],"study_design_scores_gemma":[0.00006955998,0.00001982035,0.9868867,0.000003382083,0.00000520815,0.000001010312,0.0001273483,0.0009082563,0.001635926,0.000912764,0.009391893,0.00003811588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491585,0.00002045282,0.0004781069,0.0007219229,0.000116009,0.00004634575,7.553924e-7,0.00000739505,0.04945046],"genre_scores_gemma":[0.9987957,0.00001589695,0.000182179,0.000196093,0.00001295728,0.000002494648,5.491269e-7,0.000002079204,0.0007920834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04963711,"threshold_uncertainty_score":0.4190702,"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."}}