{"id":"W2913802050","doi":"10.4095/313577","title":"Monitoring groundwater changes in southern Ontario using GRACE satellite gravity measurements","year":2019,"lang":"en","type":"report","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Glacier; Groundwater; Geodetic datum; Water level; Watershed; Gravitational field; Geological survey; Climate change; Hydrography; Hydrology (agriculture); Snow; Satellite; Oceanography; Geomorphology; Geodesy; Geography; Geophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001310269,0.0002806955,0.0001946588,0.000874644,0.001033029,0.0006223257,0.0004443229,0.0002067368,0.0009443238],"category_scores_gemma":[0.0005537423,0.0001698847,0.000201927,0.002562658,0.0003285119,0.0002310119,0.0004944116,0.0001677607,0.0002065479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01184263,"about_ca_system_score_gemma":0.01173657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9868586,"about_ca_topic_score_gemma":0.9966318,"domain_scores_codex":[0.9997328,0.000008123347,0.000008906399,0.00004760294,0.000140125,0.00006233553],"domain_scores_gemma":[0.9995346,0.00001682335,0.00005392166,0.00002077406,0.0003124786,0.00006137971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002309218,0.00006094947,0.9086444,0.0001353151,0.0001240321,0.0004203727,0.001786269,0.009676994,0.01405829,0.001133602,0.01486367,0.0488652],"study_design_scores_gemma":[0.00003134651,0.00002469889,0.9606743,0.00002561132,0.00004493747,0.00005041381,0.001376398,0.01591777,0.002446645,0.0001881876,0.01918433,0.00003531461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697496,0.0002482248,0.00102518,0.0003119411,0.00001016268,0.00006077653,0.01774727,0.0002389346,0.01060782],"genre_scores_gemma":[0.9827879,0.0002962635,0.002110716,0.00004864516,0.000006484136,0.00003028647,0.01084324,0.0000281935,0.003848318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314139,"threshold_uncertainty_score":0.08592463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.154558422772825,"score_gpt":0.2782561405452986,"score_spread":0.1236977177724736,"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."}}