{"id":"W2914241927","doi":"10.3390/w11020241","title":"Use of Alternative Hydrogeological Conceptual Models to Assess the Potential Impact of Climate Change on Groundwater Sustainable Yield in Central Huai Luang Basin, Northeast Thailand","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Kementerian Sumber Asli dan Alam Sekitar; Thailand Research Fund","keywords":"Hydrogeology; Groundwater; Environmental science; Structural basin; Hydrology (agriculture); Sustainable yield; Water resource management; Water table; Soil salinity; Groundwater model; Aquifer; Geology; Groundwater flow; Soil science; Soil water; Ecology; Geomorphology","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":[0.000960046,0.0006909118,0.0004777562,0.000908636,0.0005875845,0.002067237,0.001039624,0.0008497884,0.001860396],"category_scores_gemma":[0.001896232,0.0004254853,0.0009989153,0.001237937,0.0009055923,0.001049095,0.0007911236,0.0006838875,0.00007916702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004234651,"about_ca_system_score_gemma":0.00184873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09152263,"about_ca_topic_score_gemma":0.05271926,"domain_scores_codex":[0.999629,0.0002133666,0.00001695373,0.00004557687,0.00003487881,0.00006014369],"domain_scores_gemma":[0.9986494,0.0008776861,0.0001426541,0.00004621987,0.0001586105,0.0001254616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006357316,0.00002678747,0.003089032,0.00001758056,0.00002460603,0.00006179882,0.00003432498,0.9948913,0.0001609164,0.0008136921,0.00003835779,0.0007779773],"study_design_scores_gemma":[0.00003703704,0.00005955765,0.001555102,0.000009740699,0.00002551485,0.00001134846,0.000164762,0.9970198,0.0002397972,0.0007393237,0.0001223996,0.00001554711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925052,0.00008480468,0.003514545,0.0001244778,0.000006176957,0.00003732262,0.0004161966,0.00004420339,0.003267115],"genre_scores_gemma":[0.9984583,0.00006424337,0.001012609,0.000007854207,0.000001744094,0.00002447709,0.0001313245,0.000005781071,0.0002936658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09152263,"threshold_uncertainty_score":0.1819798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05200083877346103,"score_gpt":0.2520976190902261,"score_spread":0.2000967803167651,"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."}}