{"id":"W1997579671","doi":"10.3897/biorisk.2.4","title":"Predicting distribution patterns and recent northward range shift of an invasive aquatic plant: Elodea canadensis in Europe","year":2009,"lang":"en","type":"article","venue":"BIORISK – Biodiversity and Ecosystem Risk Assessment","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Generalized additive model; Geography; Environmental science; Climatology; Species distribution; Baseline (sea); Physical geography; Statistics; Habitat; Ecology; Mathematics; Biology; Geology; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821327,0.0001639418,0.0002447057,0.00004436182,0.0002500188,0.00005018352,0.0001237321,0.00008566002,0.0004300553],"category_scores_gemma":[0.00004215119,0.0001582653,0.00002729507,0.0002421155,0.00005221326,0.0002364058,0.0001324962,0.0001233346,0.00002105118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687549,"about_ca_system_score_gemma":0.00002312356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0180272,"about_ca_topic_score_gemma":0.1167898,"domain_scores_codex":[0.9986571,0.0001644248,0.0002710082,0.0003645313,0.0002782398,0.0002646661],"domain_scores_gemma":[0.9993618,0.00005056267,0.0002230785,0.0001649793,0.00001961032,0.0001799746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003465431,0.0001096251,0.9967502,0.00003087231,0.00001062682,0.0000214993,0.0005226784,0.000008475639,0.00005137095,0.00001473874,0.0002316537,0.002213565],"study_design_scores_gemma":[0.0007002195,0.000250194,0.9937595,0.00004160628,0.00005246734,0.000006241408,0.003162431,0.0004708689,0.0001996186,0.00000899781,0.001174969,0.0001728581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917125,0.00005498354,0.00004405795,0.0003470541,0.00009197146,0.0003010942,0.00726651,0.00002436897,0.0001574452],"genre_scores_gemma":[0.9960368,0.003314785,0.00003660399,0.00004384631,0.00001132728,0.00000302498,0.0005493419,0.000002492407,0.00000182352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09876262,"threshold_uncertainty_score":0.9885119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605466432826231,"score_gpt":0.2131195282211462,"score_spread":0.1970648638928839,"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."}}