{"id":"W4366829274","doi":"10.3390/w15091658","title":"Regional Flood Frequency Analysis: A Bibliometric Overview","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Scopus; Homogeneous; Environmental science; Water resources; Environmental resource management; Web of science; Streamflow; Geography; Hydrology (agriculture); Drainage basin; Meta-analysis; Political science; Cartography; Engineering; Ecology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002933994,0.00009062104,0.0001335775,0.004655437,0.0001401307,0.00001790745,0.0001726313,0.00003787683,0.002974708],"category_scores_gemma":[0.000006440841,0.00005701102,0.00009568309,0.02614392,0.00008831057,0.0001480593,0.000295538,0.00005246853,0.01884641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002155412,"about_ca_system_score_gemma":6.318193e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020032,"about_ca_topic_score_gemma":0.00006832992,"domain_scores_codex":[0.9990551,0.00003597039,0.0001222091,0.0002524727,0.000212529,0.0003217254],"domain_scores_gemma":[0.9997325,0.00001390015,0.00001628152,0.0001939715,0.000003061464,0.00004027928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006634583,0.00006019693,0.9084862,0.0000161577,0.0007550999,0.00008073122,0.0007490258,0.001995843,0.001023781,0.0001789108,0.08527721,0.001370163],"study_design_scores_gemma":[0.0001952933,0.00003220661,0.9327613,0.000002397172,0.0002920711,0.000001208935,0.00002799816,0.0003827178,0.0003621191,0.005353083,0.06041708,0.0001725274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849463,0.0001308345,0.00006067897,0.004004254,0.00009317376,0.00009350243,0.000002211266,0.0002335002,0.01043557],"genre_scores_gemma":[0.9941991,0.0003459133,0.00008269137,0.0009578966,0.00002448413,0.00002913793,0.00002931652,0.000008337715,0.004323105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02486014,"threshold_uncertainty_score":0.9979367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753173699278269,"score_gpt":0.2657694716743716,"score_spread":0.228237734681589,"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."}}