{"id":"W4394685310","doi":"10.1016/j.gsd.2024.101174","title":"Unraveling aquifer dynamics: Time series evaluation for informed groundwater management","year":2024,"lang":"en","type":"article","venue":"Groundwater for Sustainable Development","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aquifer; Groundwater; Series (stratigraphy); Environmental science; Geology; Hydrology (agriculture); 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":[0.001777763,0.000532585,0.0005761907,0.001260473,0.0001916662,0.001119402,0.000516433,0.000870756,0.001650001],"category_scores_gemma":[0.005695123,0.0001837849,0.000351414,0.001267094,0.0003158781,0.001915129,0.0004329366,0.0007421906,0.000182764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005316472,"about_ca_system_score_gemma":0.0006257655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006440134,"about_ca_topic_score_gemma":0.005486885,"domain_scores_codex":[0.9997262,0.0001059911,0.00002283226,0.00004924117,0.00007382472,0.00002188615],"domain_scores_gemma":[0.9985082,0.0009392507,0.0001908136,0.0001460971,0.0001668137,0.00004893602],"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":[0.000141012,0.0001339444,0.01506994,0.00009019728,0.00008480786,0.00005923841,0.0000412852,0.8574768,0.003291379,0.007037047,0.001340959,0.1152334],"study_design_scores_gemma":[0.000001628184,0.00001235974,0.0008497429,0.000003114847,0.000004782355,0.000003527162,0.00001217597,0.9959974,0.0003722182,0.002585819,0.0001539207,0.000003310019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3416297,0.0008501916,0.6474423,0.001585233,0.0001431591,0.00009047818,0.00181676,0.000873427,0.005568694],"genre_scores_gemma":[0.9641744,0.0003841932,0.03372407,0.00006624569,0.00005364023,0.00002960499,0.0005975799,0.00004030469,0.0009298173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006440134,"threshold_uncertainty_score":0.01280528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463311481260052,"score_gpt":0.2529234265806252,"score_spread":0.2382903117680246,"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."}}