{"id":"W2802692902","doi":"10.1007/s10533-018-0449-7","title":"The impact of flooding on aquatic ecosystem services","year":2018,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Ecosystem services; Ecosystem; Recreation; Flood myth; Aquatic ecosystem; Millennium Ecosystem Assessment; Environmental science; Flooding (psychology); Provisioning; Environmental resource management; Business; Geography; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003224335,0.0005131843,0.0009795103,0.006920531,0.0004306583,0.001598788,0.0004446229,0.0005071012,0.002268549],"category_scores_gemma":[0.01814693,0.0002062535,0.002037393,0.008113746,0.0006401043,0.001377001,0.00118159,0.000513812,0.0001552233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503105,"about_ca_system_score_gemma":0.004409462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009522913,"about_ca_topic_score_gemma":0.01759108,"domain_scores_codex":[0.9971163,0.001001992,0.0008022609,0.0002226929,0.0007330412,0.0001237015],"domain_scores_gemma":[0.9839848,0.01225583,0.002028154,0.0001682059,0.001384286,0.0001787467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002631851,0.00006656042,0.06003949,0.3217863,0.006357191,0.0008131285,0.001788766,0.001003027,0.001138366,0.004258318,0.006780984,0.5957047],"study_design_scores_gemma":[0.0001215635,0.0006927769,0.3289259,0.4189887,0.03312607,0.003712392,0.006995768,0.001381334,0.002255874,0.01266591,0.1909163,0.0002174224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03465943,0.953245,0.0007171831,0.002467459,0.0001963353,0.0001266515,0.002441772,0.00001859174,0.006127511],"genre_scores_gemma":[0.2673895,0.7285141,0.001668267,0.0009152652,0.0001731284,0.000145371,0.0008571987,0.000009371926,0.0003278092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009522913,"threshold_uncertainty_score":0.01893497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005931251249348867,"score_gpt":0.2502947252138006,"score_spread":0.2443634739644518,"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."}}