{"id":"W1563915672","doi":"10.1111/j.1365-3180.2010.00827.x","title":"Managing invasive weeds under climate change: considering the current and potential future distribution of <i>Buddleja davidii</i>","year":2010,"lang":"en","type":"article","venue":"Weed Research","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed; Geography; Range (aeronautics); Invasive species; Climate change; Distribution (mathematics); Shrub; Agroforestry; Subtropics; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034877,0.0003895652,0.0003790589,0.0005223874,0.0004885566,0.002040891,0.000728764,0.000725558,0.001539768],"category_scores_gemma":[0.001188872,0.0001832348,0.0005582013,0.0005530661,0.0002841419,0.001351257,0.0007711727,0.0007682343,0.000224798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309329,"about_ca_system_score_gemma":0.001553961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02589234,"about_ca_topic_score_gemma":0.06770494,"domain_scores_codex":[0.9997867,0.00006576649,0.00001097983,0.00003548056,0.00005209231,0.0000490786],"domain_scores_gemma":[0.9994541,0.0001682011,0.000146584,0.00001342623,0.0000851763,0.0001325929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003520724,0.0002780265,0.2182734,0.001219446,0.0004566804,0.002770112,0.000967404,0.5588351,0.03016971,0.00524208,0.01934504,0.1620909],"study_design_scores_gemma":[0.00007949486,0.0009006715,0.161195,0.0003710419,0.0005338893,0.001466101,0.007676086,0.7580732,0.004231298,0.01263224,0.05260296,0.0002379894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302522,0.00674315,0.03175457,0.009732376,0.0002760544,0.00009530436,0.0008620767,0.0003534469,0.01993074],"genre_scores_gemma":[0.9869478,0.003255817,0.008172136,0.0003081223,0.00004551957,0.00002052448,0.0002322205,0.00003430722,0.0009835532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02589234,"threshold_uncertainty_score":0.05148327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154131509661922,"score_gpt":0.3084655840129714,"score_spread":0.1930524330467792,"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."}}