{"id":"W4405563335","doi":"10.1016/j.jhydrol.2024.132557","title":"Multi-indicators to investigate the spatiotemporal effect of groundwater-lake interaction on lake development: Case study in the largest fresh water lake (Poyang Lake) of China","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Natural Science Foundation of Hebei Province","keywords":"China; Hydrology (agriculture); Groundwater; Environmental science; Water resource management; Geology; Geography; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001063905,0.0005290686,0.0004201028,0.002534488,0.0004693696,0.0009319782,0.000494459,0.0004653759,0.0006756439],"category_scores_gemma":[0.001415115,0.0001766097,0.0006473859,0.003816803,0.0004386348,0.0008682547,0.001096284,0.0004250557,0.0000413356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450308,"about_ca_system_score_gemma":0.00140634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04167847,"about_ca_topic_score_gemma":0.07512937,"domain_scores_codex":[0.9995529,0.0001477618,0.0000349986,0.0000605544,0.0001020888,0.0001015603],"domain_scores_gemma":[0.999108,0.0003037331,0.0002538433,0.00003597388,0.00016574,0.0001326135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001729317,0.00029823,0.954618,0.0000990325,0.0004402597,0.001157541,0.0006492985,0.02446884,0.003870004,0.001079303,0.0004701723,0.01267629],"study_design_scores_gemma":[0.00002576469,0.000282828,0.853026,0.00002162317,0.0003384946,0.0001611719,0.00342561,0.1392542,0.001761672,0.0007341423,0.0009228049,0.00004582766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980781,0.00007170727,0.001048292,0.00006277461,0.000003884296,0.00001529376,0.000232752,0.00001157386,0.0004755192],"genre_scores_gemma":[0.9991314,0.00003266614,0.0005586611,0.000003779347,0.000001727455,0.000009511976,0.0001142443,0.00000157892,0.000146433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04167847,"threshold_uncertainty_score":0.08287179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192160254315268,"score_gpt":0.2781194334175908,"score_spread":0.2661978308744382,"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."}}