{"id":"W2981946410","doi":"10.4095/299783","title":"Barometric pressure responses in groundwater level time series data, a literature review","year":2017,"lang":"en","type":"review","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Series (stratigraphy); Atmospheric pressure; Groundwater; Hydrology (agriculture); Meteorology; Geography; Geology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00357655,0.0008661411,0.001662906,0.006886494,0.0003808836,0.002009802,0.001134443,0.001339386,0.002670699],"category_scores_gemma":[0.01540064,0.0005243299,0.001208815,0.01497954,0.0007644464,0.002637533,0.0006025695,0.001278655,0.0007418646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562414,"about_ca_system_score_gemma":0.004355925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188995,"about_ca_topic_score_gemma":0.01673834,"domain_scores_codex":[0.998764,0.0003083506,0.0002812591,0.000223529,0.0003731629,0.00004974623],"domain_scores_gemma":[0.9865805,0.01059712,0.0008719732,0.0001867047,0.001682896,0.00008080281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006383868,0.00004505831,0.002525094,0.08133881,0.0004326693,0.0001596853,0.000375806,0.0009011679,0.0003415568,0.004856188,0.02341129,0.8855488],"study_design_scores_gemma":[0.00002184854,0.0001765119,0.0286891,0.1107737,0.001798718,0.001089315,0.001052011,0.001044622,0.0009009001,0.005796956,0.8484934,0.0001628987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000285431,0.998131,0.000276631,0.000458203,0.0001823225,0.00001054083,0.0001017865,0.000006032532,0.0005479991],"genre_scores_gemma":[0.002352062,0.9966228,0.0004191159,0.0001737992,0.0001584289,0.00001640762,0.000108399,0.000002764291,0.0001462509],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01188995,"threshold_uncertainty_score":0.02364153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1904541480745402,"score_gpt":0.3683379797386815,"score_spread":0.1778838316641414,"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."}}