{"id":"W4392462381","doi":"10.1111/ecog.07085","title":"Plant invasion in Mediterranean Europe: current hotspots and future scenarios","year":2024,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Grantová Agentura České Republiky; Università degli Studi Roma Tre","keywords":"Mediterranean climate; Ecology; Ecological niche; Propagule pressure; Mediterranean Basin; Habitat; Invasive species; Biodiversity; Introduced species; Niche; Propagule; Geography; Climate change; Environmental niche modelling; Global change; Biology; Biological dispersal; Population","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":[0.001873033,0.0006010079,0.0005209655,0.0007915873,0.0002993068,0.001377232,0.0006991313,0.0007486791,0.001268182],"category_scores_gemma":[0.002373384,0.0002020907,0.0007433008,0.0006232353,0.0004806052,0.001352532,0.0008713478,0.0003148868,0.0001325097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009754825,"about_ca_system_score_gemma":0.0002215196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005538108,"about_ca_topic_score_gemma":0.007257729,"domain_scores_codex":[0.999619,0.000161512,0.00002371223,0.00008998907,0.00004349662,0.00006230775],"domain_scores_gemma":[0.9990053,0.0003517103,0.0003024203,0.0000799766,0.0001027527,0.000157949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005469978,0.00008451114,0.8625734,0.000391273,0.0005677807,0.001175936,0.00107747,0.09089468,0.00326639,0.00443784,0.00157493,0.03340895],"study_design_scores_gemma":[0.00008530023,0.000383306,0.6929262,0.0001996134,0.0003186731,0.0009050234,0.002677376,0.2768863,0.0006190382,0.01929916,0.005581697,0.0001183146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992862,0.002110311,0.002207763,0.0006506899,0.00001918059,0.000009794224,0.0002350764,0.00007982039,0.001825351],"genre_scores_gemma":[0.9985757,0.0005239681,0.0005818022,0.00004337641,0.00001442694,0.000005824058,0.0001584278,0.000007568592,0.00008890124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005538108,"threshold_uncertainty_score":0.01101172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406700977879661,"score_gpt":0.2416869896768966,"score_spread":0.2176199798981,"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."}}