{"id":"W4244841307","doi":"10.5194/hess-2019-154","title":"Characterizing Uncertainty in the Hydraulic Parameters of Oil Sands Mine Reclamation Covers and its Influence on Water Balance Predictions","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Land reclamation; Oil sands; Environmental science; Water balance; Atmosphere (unit); Material balance; Balance (ability); Term (time); Petroleum engineering; Soil science; Hydrology (agriculture); Geotechnical engineering; Geology; Engineering; Meteorology; Geography; Process engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000591303,0.0003885653,0.0002883804,0.0002427239,0.000167446,0.0004528446,0.0002815118,0.0005787489,0.0005277757],"category_scores_gemma":[0.001970645,0.000207246,0.0003569257,0.0002957569,0.0003690588,0.0008648645,0.0002853947,0.0003640278,0.00008204081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006455028,"about_ca_system_score_gemma":0.000448131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046339,"about_ca_topic_score_gemma":0.006765857,"domain_scores_codex":[0.9998158,0.00004313527,0.000008539207,0.00004922942,0.00004064987,0.00004265269],"domain_scores_gemma":[0.9990541,0.0006150463,0.0001008906,0.0001026704,0.00009617434,0.00003104052],"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":[0.000131714,0.0000374935,0.01252067,0.0000171592,0.0000333175,0.0000450156,0.00002166548,0.9735814,0.009067309,0.0002307987,0.0000748438,0.004238555],"study_design_scores_gemma":[0.00001332218,0.00006026533,0.01545547,0.000005033463,0.00001456956,0.00001121395,0.00003313353,0.9690055,0.01481618,0.0003872788,0.0001828092,0.00001534637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924783,0.0000298094,0.006707353,0.00003707106,0.000003821076,0.000004404025,0.0001950973,0.0000635481,0.0004805425],"genre_scores_gemma":[0.9994494,0.000009549329,0.0003956589,0.000002306046,7.708839e-7,0.000002188235,0.00007863912,0.000005149866,0.00005638353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9895366,"threshold_uncertainty_score":0.02080494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507030185467493,"score_gpt":0.2255152508655122,"score_spread":0.2104449490108372,"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."}}