{"id":"W4400514774","doi":"10.1002/wat2.1745","title":"The effects of drought on biodiversity in <scp>UK</scp> river ecosystems: Drying rivers in a wet country","year":2024,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Biodiversity; Ecosystem; Climate change; Habitat; Freshwater ecosystem; Environmental science; Context (archaeology); Ecology; Ecosystem services; Temperate climate; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005139078,0.0001101644,0.0001821075,0.0007513844,0.0008510318,0.001328866,0.0002963092,0.0004722738,0.003668993],"category_scores_gemma":[0.001798679,0.0001057143,0.0002387579,0.001179718,0.0009408102,0.0008722957,0.001304253,0.0005652067,0.0001930901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996337,"about_ca_system_score_gemma":0.0005802609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05141881,"about_ca_topic_score_gemma":0.1172373,"domain_scores_codex":[0.9996094,0.0001375406,0.00002449559,0.00004673529,0.00006487779,0.0001169174],"domain_scores_gemma":[0.9982698,0.0002657405,0.0006388343,0.00006975907,0.0002803684,0.0004755416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004691933,0.0001150167,0.9247265,0.0004761241,0.00025905,0.001546615,0.01008343,0.001604955,0.003830677,0.001615993,0.008517131,0.0467553],"study_design_scores_gemma":[0.000002598549,0.00006053298,0.9947762,0.00004960566,0.0000107671,0.00009001437,0.003028501,0.0001719524,0.00005591753,0.0001722831,0.001573247,0.000008396269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9951422,0.000655808,0.00007248379,0.001217564,0.00001876444,0.000004950222,0.0006448686,0.000004803758,0.002238495],"genre_scores_gemma":[0.9990082,0.0002968305,0.00006247174,0.0001754829,0.00001082523,0.000005696919,0.0001397952,0.00000203534,0.0002987206],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05141881,"threshold_uncertainty_score":0.102239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008985752399590484,"score_gpt":0.2403623091969183,"score_spread":0.2313765567973278,"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."}}