{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001694118,0.0005319385,0.0006902487,0.0002671749,0.0001354663,0.0002176595,0.0003970718,0.0003499334,0.001134077],"category_scores_gemma":[0.0000209604,0.0004450617,0.0001664489,0.0002286602,0.00003623658,0.0001796415,0.00004143585,0.000652031,0.0007201306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711002,"about_ca_system_score_gemma":0.0007959672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8793994,"about_ca_topic_score_gemma":0.9346884,"domain_scores_codex":[0.9956597,0.0001257973,0.0004749593,0.0007544231,0.002212402,0.000772718],"domain_scores_gemma":[0.9986825,0.00002902055,0.0003131244,0.0005110966,0.0003021696,0.0001620742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001371158,0.0000395556,0.986681,0.0001100132,0.00007222001,0.00001310927,0.0006584591,0.0001368186,0.0001446371,1.170605e-7,0.00002101997,0.01210932],"study_design_scores_gemma":[0.0002952642,0.00006731555,0.9897332,0.0004716598,0.00008178551,0.000009593789,0.0002658204,0.00002887866,0.0002536295,0.0001867175,0.007942683,0.0006634194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719483,0.001157886,0.000005829716,0.00002330744,0.004493617,0.000640286,0.00006145384,0.0000373312,0.02163198],"genre_scores_gemma":[0.9632046,0.0002222938,0.0003676236,0.00002985023,0.0005093234,0.000002591007,0.0002692871,0.0000256978,0.0353687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05528896,"threshold_uncertainty_score":0.9998001,"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."}}