{"id":"W3161789072","doi":"10.1007/s11625-021-00963-6","title":"Alternative futures for global biological invasions","year":2021,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agencia Estatal de Investigación; Comisión Nacional de Investigación Científica y Tecnológica; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Bundesministerium für Bildung und Forschung; Austrian Science Fund; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Sight Research UK; Natural Environment Research Council; Biodiversa+; Pan-Massachusetts Challenge; National Science Foundation","keywords":"Futures contract; Climate change; Scenario planning; Socioeconomic status; Environmental resource management; Biodiversity; Biosecurity; Scenario analysis; Environmental planning; Ecology; Geography; Business; Biology; Economics; Sociology","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":[0.006815926,0.0008315266,0.0003055394,0.001729768,0.001514224,0.002992738,0.0009428518,0.001288592,0.01116517],"category_scores_gemma":[0.01085341,0.0002180707,0.001249281,0.001660756,0.00162267,0.003316622,0.003103501,0.001364546,0.0003102956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856235,"about_ca_system_score_gemma":0.001335248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756346,"about_ca_topic_score_gemma":0.00577271,"domain_scores_codex":[0.9963191,0.002884422,0.00006326794,0.0002279833,0.0003139219,0.0001912645],"domain_scores_gemma":[0.9955781,0.003251766,0.0003467972,0.0002872789,0.0003495254,0.0001865326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002626152,0.0001668107,0.01364848,0.000284706,0.0001930294,0.001141085,0.004657689,0.3256099,0.001432586,0.6126811,0.003462062,0.03645987],"study_design_scores_gemma":[0.00006334658,0.000173888,0.005810896,0.0002006363,0.00007434384,0.0002494013,0.008293271,0.2195302,0.0008496363,0.731171,0.03349877,0.00008476174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6168325,0.0008284452,0.2240679,0.007527162,0.0001980419,0.0005268201,0.002036864,0.0001590493,0.1478233],"genre_scores_gemma":[0.9646323,0.0002359051,0.03319142,0.00008987477,0.0000108204,0.0002430961,0.0003766814,0.00001908891,0.00120084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116517,"threshold_uncertainty_score":0.03735125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05932503844458624,"score_gpt":0.3215873254560846,"score_spread":0.2622622870114984,"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."}}