{"id":"W4387218490","doi":"10.1002/lol2.10356","title":"How low can you go? Widespread challenges in measuring low stream discharge and a path forward","year":2023,"lang":"en","type":"article","venue":"Limnology and Oceanography Letters","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Streamflow; STREAMS; Water scarcity; Environmental science; Water resources; Climate change; Scarcity; Hydrology (agriculture); Water resource management; Environmental resource management; Business; Computer science; Drainage basin; Geography; Economics; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02084344,0.001082842,0.001236665,0.002466515,0.002279022,0.008508221,0.002311227,0.003525085,0.004928166],"category_scores_gemma":[0.07457478,0.0005379315,0.0006366901,0.00355613,0.005284802,0.01569163,0.003948719,0.007185221,0.00326229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495132,"about_ca_system_score_gemma":0.003424105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108975,"about_ca_topic_score_gemma":0.01693474,"domain_scores_codex":[0.9831034,0.008333461,0.001196342,0.002624448,0.004258821,0.00048349],"domain_scores_gemma":[0.9690753,0.01534844,0.003099776,0.002224642,0.00899295,0.001258912],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001918662,0.0001428422,0.09429301,0.002274687,0.0002366707,0.0002580781,0.008789284,0.001612,0.002717842,0.04874339,0.1369257,0.7038147],"study_design_scores_gemma":[0.00005095127,0.0003920141,0.05575408,0.007378608,0.0002145744,0.001251366,0.02461685,0.007595161,0.006391657,0.3693952,0.5265173,0.0004421869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05391029,0.05710869,0.2560981,0.5626116,0.008991136,0.0003283045,0.007573727,0.001753988,0.0516242],"genre_scores_gemma":[0.4717678,0.05872246,0.3321764,0.1130526,0.004894915,0.001112436,0.003535347,0.001533563,0.01320452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9791566,"threshold_uncertainty_score":0.110232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544575066106242,"score_gpt":0.1903342293725104,"score_spread":0.174888478711448,"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."}}