{"id":"W2994427699","doi":"10.1007/s10531-019-01917-2","title":"Stormwater ponds as habitat for Odonata in urban areas: the importance of obligate wetland plant species","year":2019,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Odonata; Stormwater; Wetland; Habitat; Ecology; Environmental science; Species richness; Biodiversity; Surface runoff; Urban ecology; Urbanization; Abundance (ecology); Geography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001578634,0.00006209751,0.00009241576,0.00002589791,0.0001050907,0.00001399105,0.0001305069,0.00005018617,0.0005334341],"category_scores_gemma":[0.000008800961,0.00004866126,0.00002371679,0.00006906904,0.0001701561,0.0002152095,0.0001336071,0.00004160885,0.0001450309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004048422,"about_ca_system_score_gemma":0.000006994406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009861485,"about_ca_topic_score_gemma":0.005639464,"domain_scores_codex":[0.999537,0.00002131995,0.00008688515,0.0001504078,0.00008214136,0.0001222665],"domain_scores_gemma":[0.9997696,0.00004767932,0.00005873702,0.00009168411,0.000008662022,0.00002369726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001875447,0.00001996693,0.9682336,0.00001326317,0.000006921454,0.000002061911,0.0006527596,0.000009139329,0.001760968,0.0002235367,0.02887108,0.00001915835],"study_design_scores_gemma":[0.0006670819,0.0001140268,0.9679989,0.000006535024,0.00001104662,0.00000224235,0.0006955657,0.0004349787,0.00173426,0.0004143425,0.02783778,0.00008320459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957497,0.00001863835,0.000004129975,0.003320398,0.00006850381,0.0002131784,0.0001467494,0.000005966043,0.0004727697],"genre_scores_gemma":[0.9974891,0.00002536229,0.00003871609,0.001738314,0.00000452362,0.000001732044,0.0000759297,0.000001142813,0.0006251618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004653316,"threshold_uncertainty_score":0.5840729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487945986393967,"score_gpt":0.1753061361143282,"score_spread":0.1604266762503885,"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."}}