{"id":"W2604534264","doi":"10.1002/ecs2.1731","title":"Climatic suitability ranking of biological control candidates: a biogeographic approach for ragweed management in Europe","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UC Berkeley College of Chemistry; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Florida Department of Agriculture and Consumer Services; Russian Academy of Sciences; Université de Fribourg; University of California Berkeley; University of Alberta; Florida Museum of Natural History; National Science Foundation","keywords":"Ragweed; Ambrosia artemisiifolia; Invasive species; Range (aeronautics); Ecology; Niche; Environmental niche modelling; Biodiversity; Biology; Ecological niche; Introduced species; Habitat; Biological pest control; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004640067,0.0001060128,0.0002040285,0.00001050922,0.0001602051,0.00003910385,0.0003673104,0.00005060751,0.01090476],"category_scores_gemma":[0.0000999015,0.00008486308,0.00007363482,0.0001255632,0.0002337718,0.00008413551,0.0001543628,0.00005047884,0.0001245303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009492695,"about_ca_system_score_gemma":0.000002390194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002328083,"about_ca_topic_score_gemma":0.0004130571,"domain_scores_codex":[0.9990804,0.00004258968,0.0002347165,0.0002665944,0.0001131996,0.0002624566],"domain_scores_gemma":[0.9993736,0.00003771981,0.0001485664,0.0003822779,0.00001123331,0.00004665762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002070998,0.0005483704,0.9870122,0.0001334475,0.00004268495,0.000004893492,0.0001202621,0.0001022739,0.0008384938,0.001738398,0.004756772,0.00449508],"study_design_scores_gemma":[0.001883389,0.00006712368,0.9930414,0.00001074752,0.00001555764,6.981697e-7,0.0004349817,0.001675453,0.00009029767,0.000256981,0.00239596,0.0001274424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700035,0.00005064885,0.0004890473,0.0001114439,0.00004653809,0.0006723871,0.0001090806,0.00001756648,0.1284997],"genre_scores_gemma":[0.9991085,0.00005256157,0.000523989,0.00005734669,0.000006815587,0.0001047814,0.0000484394,0.000006049627,0.00009150753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129105,"threshold_uncertainty_score":0.9899994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499691610853665,"score_gpt":0.2609758609005057,"score_spread":0.2259789447919691,"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."}}