{"id":"W2468204128","doi":"10.1016/j.chemosphere.2016.06.093","title":"Assessing spatial and temporal variability of acid-extractable organics in oil sands process-affected waters","year":2016,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Natural Resources; Environment and Climate Change Canada","funders":"European Research Council; Syncrude; Environment Canada; Canadian Natural Resources Limited","keywords":"Tailings; Oil sands; Environmental science; Environmental chemistry; Spatial variability; Principal component analysis; Chemistry; Cartography; Geography","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":[0.0001672563,0.0001414853,0.0001225737,0.0006303128,0.0002797782,0.0004141321,0.0001738829,0.0002831419,0.0002916452],"category_scores_gemma":[0.0002461979,0.0000947103,0.0002248698,0.0005248975,0.0001912821,0.0003064957,0.0002123815,0.0001364193,0.00007742336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044982,"about_ca_system_score_gemma":0.0004200393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06347571,"about_ca_topic_score_gemma":0.06804116,"domain_scores_codex":[0.9999083,0.000006645288,0.000007225137,0.00003069909,0.00002883297,0.00001825555],"domain_scores_gemma":[0.9998721,0.00002719866,0.00003378233,0.000006370248,0.00004363512,0.00001692128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006948375,0.0001708264,0.7344014,0.00004782574,0.0001073902,0.0002871736,0.0003630085,0.004541425,0.2426121,0.0001691479,0.0001122343,0.01649272],"study_design_scores_gemma":[0.00000805022,0.0001204576,0.9635429,0.000003244364,0.00003998688,0.00007328834,0.0005045883,0.008241339,0.02697176,0.00006494907,0.0004203776,0.000009094316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994205,0.00001930962,0.0001717194,0.000005326036,0.000001094182,0.000002658437,0.0001044016,0.000005061713,0.0002699048],"genre_scores_gemma":[0.9993559,0.00003600292,0.0002196697,0.000002671541,0.000001211539,0.000002393549,0.0001128156,9.702266e-7,0.0002683868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06347571,"threshold_uncertainty_score":0.1262125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008121298231100943,"score_gpt":0.2451003660266629,"score_spread":0.2369790677955619,"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."}}