{"id":"W2908965886","doi":"10.1038/s41558-018-0386-4","title":"Global patterns and dynamics of climate–groundwater interactions","year":2019,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":523,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Victoria","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Groundwater recharge; Groundwater; Environmental science; Climate change; Hydrology (agriculture); Global warming; Arid; Groundwater model; Climate model; Ecosystem; Depression-focused recharge; Aquifer; Geology; Ecology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001076671,0.0001168489,0.0001489886,0.00002538774,0.00007720742,0.00001104308,0.000107444,0.0001158561,0.001093429],"category_scores_gemma":[0.000003583177,0.00009398717,0.00003531505,0.00008511564,0.00008180179,0.0002241563,0.0004977338,0.0001500266,0.0002368834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008341868,"about_ca_system_score_gemma":3.651907e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001320984,"about_ca_topic_score_gemma":0.001743683,"domain_scores_codex":[0.9992449,0.00002159635,0.0001200784,0.0002350152,0.0001048434,0.0002735954],"domain_scores_gemma":[0.9997256,0.00001765399,0.00006198052,0.0001573987,0.00000518329,0.00003211493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000266662,0.00004745674,0.996398,0.00006998821,0.00001742075,0.000004019352,0.0002713028,0.000005711261,0.00002579508,0.001270866,0.0001620627,0.001700672],"study_design_scores_gemma":[0.0003182582,0.00009680126,0.9938692,0.00003725705,0.00003602609,0.000008715228,0.0003686582,0.000752521,0.00003202009,0.0004386573,0.003884373,0.0001575006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738652,0.00005843364,0.00001231117,0.001528235,0.0004778586,0.000229559,0.00009979434,0.00003067363,0.023698],"genre_scores_gemma":[0.998183,0.0007924358,0.00006716654,0.0007493042,0.00003412455,0.00001674418,0.00004309138,0.00000703951,0.0001071111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431784,"threshold_uncertainty_score":0.9998197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007104024009112,"score_gpt":0.2543238779366624,"score_spread":0.2442528376965713,"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."}}