{"id":"W3110863112","doi":"10.1139/er-2020-0088","title":"Four priority areas to advance invasion science in the face of rapid environmental change","year":2020,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Fisheries and Oceans Canada; McGill University","funders":"Division of Materials Research; DST-NRF Centre of Excellence for Invasion Biology; Ernest Oppenheimer Memorial Trust; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia, Innovación y Universidades; Department of Science and Technology, Ministry of Science and Technology, India; Grantová Agentura České Republiky; Deutsche Forschungsgemeinschaft; National Research Foundation; Biodiversa+; Akademie Věd České Republiky; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture","keywords":"Biosecurity; Biological dispersal; Biodiversity; Environmental planning; Environmental resource management; Climate change; Adaptive management; Introduced species; Ecology; Invasive species; Pace; Psychological resilience; Geography; Biology; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":["insufficient_payload"],"category_scores_codex":[0.0007697127,0.0002373933,0.0003115691,0.00003090866,0.0001538732,0.00002299741,0.00086541,0.00004472666,0.01218918],"category_scores_gemma":[0.0001014379,0.0001770774,0.0001120131,0.0005100813,0.0005614095,0.0004087379,0.0005676807,0.0001811746,0.004071394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514568,"about_ca_system_score_gemma":0.00000468609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000260384,"about_ca_topic_score_gemma":0.00002321339,"domain_scores_codex":[0.9976744,0.00014928,0.0004450301,0.000569245,0.0007528341,0.0004092073],"domain_scores_gemma":[0.9990803,0.00003402432,0.0001770032,0.0004608285,2.879771e-7,0.0002475338],"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":[0.0000934776,0.0008476749,0.2995509,0.0000531271,0.000004787788,0.00002952079,0.01344055,0.00001559778,0.4263969,0.00005200096,0.005750045,0.2537655],"study_design_scores_gemma":[0.00027306,0.000199591,0.5693564,0.00002386828,0.000008649583,0.000006809719,0.002642244,0.00004246761,0.004210267,0.000006890321,0.4230089,0.0002208022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902092,0.002069158,0.00005881726,0.002440782,0.00008573117,0.001669373,0.00007974316,0.0000135829,0.00337367],"genre_scores_gemma":[0.9876883,0.007107108,0.0001528994,0.00478375,0.00003601892,0.0001489172,0.00002917012,0.00001239922,0.00004144894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221866,"threshold_uncertainty_score":0.996704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08157806408005355,"score_gpt":0.2780774641313625,"score_spread":0.196499400051309,"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."}}