{"id":"W4414914028","doi":"10.3897/neobiota.102.151156","title":"A global synthesis of naturalised and invasive plants in aquatic habitats","year":2025,"lang":"en","type":"article","venue":"NeoBiota","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agencia Estatal de Investigación; Akademie Věd České Republiky; Austrian Science Fund; Grantová Agentura České Republiky","keywords":"Invasive species; Habitat; Taxon; Temperate climate; Subtropics; Introduced species; Aquatic plant; Mediterranean climate; Tropics","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":[0.00222592,0.0007827164,0.001180998,0.02912643,0.0003511032,0.001386732,0.0006849539,0.0003548275,0.004915863],"category_scores_gemma":[0.005259241,0.0003541773,0.001049641,0.03111146,0.0005403655,0.002330632,0.002948379,0.0005061219,0.001027418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004934413,"about_ca_system_score_gemma":0.001209223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031271,"about_ca_topic_score_gemma":0.01396049,"domain_scores_codex":[0.9980399,0.0002721318,0.0005532276,0.0005962816,0.0003809181,0.0001575164],"domain_scores_gemma":[0.9890229,0.004029094,0.003003777,0.001471233,0.001984005,0.0004889725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0005751771,0.00006413515,0.3989274,0.04798403,0.002777326,0.0008987014,0.007539917,0.002146636,0.01527921,0.00434468,0.04063607,0.4788266],"study_design_scores_gemma":[0.000009762123,0.00007648628,0.7733986,0.003448197,0.0007662328,0.0005677612,0.002898462,0.0003084017,0.001041172,0.0007792126,0.2166465,0.0000591915],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2579551,0.07902307,0.009395583,0.0008353915,0.0001719668,0.0001595498,0.6383038,0.0005245773,0.013631],"genre_scores_gemma":[0.3601404,0.09174941,0.02578733,0.0005684592,0.0002343327,0.0004434401,0.5182126,0.0003110169,0.002552936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02912643,"threshold_uncertainty_score":0.01795739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288434580878928,"score_gpt":0.2214973207733915,"score_spread":0.2086129749646022,"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."}}