{"id":"W2070861542","doi":"10.1016/j.chemosphere.2013.08.072","title":"Potential for in situ chemical oxidation of acid extractable organics in oil sands process affected groundwater","year":2013,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Suncor Energy Incorporated","keywords":"Oil sands; Environmental chemistry; Environmental remediation; Tailings; Permanganate; Groundwater; Persulfate; Chemistry; Naphthenic acid; Pentachlorophenol; Extraction (chemistry); Environmental science; Contamination; Asphalt; Geology; Ecology; Organic chemistry; Geotechnical 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000908514,0.0001534067,0.0002897948,0.00002057648,0.00002455653,0.00004740514,0.0001872092,0.0002146822,0.0009419285],"category_scores_gemma":[0.00009048681,0.0001445002,0.00006883481,0.0002851672,0.0000332485,0.0002495788,0.00002682943,0.0001678953,0.00001010465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007908164,"about_ca_system_score_gemma":0.00006192784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007159901,"about_ca_topic_score_gemma":0.00004167289,"domain_scores_codex":[0.9989526,0.000006358573,0.000327526,0.0002840396,0.0001536639,0.0002757717],"domain_scores_gemma":[0.9995061,0.00001629898,0.0001271214,0.0001774387,0.0001241088,0.0000489257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003405717,0.0002606177,0.001506343,0.0006564955,0.00001621788,0.000001480292,0.0001484398,0.00002243783,0.9830424,0.00000100351,0.00007507345,0.01423547],"study_design_scores_gemma":[0.001178771,0.00000752837,0.0002937081,0.000127316,0.00002771551,0.000002838831,0.0003518033,0.002865478,0.9947632,0.0001631709,0.00005089493,0.0001675964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960322,0.0001588735,0.0002011101,0.0001023042,0.00001443165,0.00001485703,0.000002337516,0.00003794989,0.003435936],"genre_scores_gemma":[0.9964188,0.00001162696,0.0007061018,0.00001705796,0.00006002706,0.00006885044,0.0001176334,0.00002490606,0.002574937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406787,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005036144286651093,"score_gpt":0.2211658985995767,"score_spread":0.2161297543129256,"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."}}