{"id":"W3123491167","doi":"10.1101/2021.01.15.426694","title":"Alternative futures for global biological invasions","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Agencia Estatal de Investigación; Austrian Science Fund; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Sight Research UK; Natural Environment Research Council; Biodiversa+; National Science Foundation","keywords":"Futures contract; Sustainability; Biodiversity; Environmental resource management; Scenario analysis; Climate change; Set (abstract data type); Scenario planning; Citizen journalism; Ecology; Geography; Political science; Business; Computer science; Environmental science; Biology","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":[0.004889564,0.0008027434,0.0003055583,0.001522048,0.0011079,0.002675663,0.0007637209,0.001222832,0.01005399],"category_scores_gemma":[0.00858495,0.000220796,0.001237055,0.001421082,0.001339757,0.00273405,0.002704122,0.001247184,0.0003262852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381155,"about_ca_system_score_gemma":0.0009010694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559486,"about_ca_topic_score_gemma":0.004430466,"domain_scores_codex":[0.9976766,0.001718745,0.00004409103,0.0001797286,0.0002470095,0.0001338372],"domain_scores_gemma":[0.9971852,0.001945439,0.0002477714,0.0002048895,0.000253365,0.0001634868],"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":[0.0002153423,0.00009558058,0.01011522,0.0002099359,0.0001571887,0.0007870564,0.001865245,0.4667364,0.001404731,0.4913644,0.003439139,0.0236097],"study_design_scores_gemma":[0.00004891445,0.0001119509,0.004727262,0.0001428017,0.0000569947,0.0002034847,0.003305145,0.2857649,0.0007417241,0.6793458,0.0254841,0.00006698934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6007918,0.000860278,0.255105,0.006136423,0.0001966946,0.0003485228,0.002387294,0.0002153872,0.1339585],"genre_scores_gemma":[0.9617391,0.0002600829,0.03562543,0.00009237634,0.00001166645,0.0002088733,0.0005533829,0.00003168371,0.001477329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005399,"threshold_uncertainty_score":0.03363395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311482769296054,"score_gpt":0.2303006602292374,"score_spread":0.2071858325362768,"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."}}