{"id":"W2921075492","doi":"10.1111/1752-1688.12737","title":"Does Wetland Location Matter When Managing Wetlands for Watershed‐Scale Flood and Drought Resilience?","year":2019,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Alberta Environment and Parks","keywords":"Wetland; Baseflow; Watershed; Environmental science; Flood myth; Hydrology (agriculture); Watershed area; Flooding (psychology); Streamflow; Floodplain; Hydrological modelling; Water resource management; Geography; Drainage basin; Ecology; Geology","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":[0.0009457529,0.0001314582,0.0002519548,0.0003172047,0.0002551735,0.0008895362,0.0004353819,0.0003158528,0.0009206263],"category_scores_gemma":[0.002676239,0.0001263319,0.0001903948,0.0002829644,0.0004414692,0.001395334,0.0004594064,0.0001970595,0.00007964005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005509234,"about_ca_system_score_gemma":0.000695362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008275875,"about_ca_topic_score_gemma":0.03265267,"domain_scores_codex":[0.99968,0.0001698922,0.00001303616,0.00004738443,0.00003324855,0.00005649506],"domain_scores_gemma":[0.9993498,0.0002356154,0.0001808455,0.00004628066,0.00009535315,0.00009216383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004126734,0.0002946743,0.8428925,0.0001731326,0.000288067,0.000476602,0.000612223,0.04637383,0.02846666,0.002507712,0.0009324221,0.07656956],"study_design_scores_gemma":[0.00002389428,0.0003321376,0.8888053,0.00006486601,0.0001628377,0.0001947478,0.003487095,0.09714943,0.005129991,0.002649596,0.001959596,0.00004051975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961814,0.00008626872,0.002554118,0.0002629475,0.000007189111,0.0000130602,0.00005219982,0.00001495082,0.0008278252],"genre_scores_gemma":[0.9988441,0.00003474139,0.001013443,0.00001285197,0.000002688689,0.000002798627,0.000009654568,0.000002126445,0.00007751234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008275875,"threshold_uncertainty_score":0.01645541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002638588551608118,"score_gpt":0.1889485585216695,"score_spread":0.1863099699700614,"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."}}