{"id":"W3213573410","doi":"10.1002/eap.2494","title":"Climate change aggravates non‐target effects of pesticides on dragonflies at macroecological scales","year":2021,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Network for Innovation in Education; University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Ecology; Biological dispersal; Global change; Range (aeronautics); Odonata; Global warming; Land use, land-use change and forestry; Environmental change; Biology; Persistence (discontinuity); Environmental science; Geography; Land use; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004832397,0.0003202949,0.000246566,0.000624952,0.0004794926,0.0005459316,0.0002152277,0.0002353076,0.001288484],"category_scores_gemma":[0.0007478106,0.0001004098,0.0005127598,0.0003566026,0.0003436787,0.0004770224,0.000635956,0.0002807067,0.00007063671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005364331,"about_ca_system_score_gemma":0.0003310794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631795,"about_ca_topic_score_gemma":0.0653123,"domain_scores_codex":[0.9997606,0.00006097301,0.00001191643,0.00006774478,0.00003747708,0.00006138223],"domain_scores_gemma":[0.9994065,0.0001875909,0.000233823,0.00005249552,0.00005617582,0.00006341524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000118001,0.00006187127,0.969248,0.00006065831,0.0003106863,0.0001233173,0.0001803699,0.001839604,0.01005044,0.0001853093,0.0002355646,0.01758616],"study_design_scores_gemma":[0.000001228964,0.00005056835,0.9981331,0.000003550438,0.00004365646,0.00002176993,0.0001305231,0.001038312,0.0002732333,0.00007538687,0.0002258049,0.000002771243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986554,0.0002296074,0.0001817834,0.00006819089,0.000003124459,0.000002914975,0.00009426303,0.000008155775,0.0007565043],"genre_scores_gemma":[0.9995849,0.0001116916,0.00009631558,0.00002754227,0.000002945725,0.000001833336,0.00005953693,0.000001660922,0.0001134998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01631795,"threshold_uncertainty_score":0.03244591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922272055770782,"score_gpt":0.2576840668725128,"score_spread":0.238461346314805,"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."}}