{"id":"W2898839818","doi":"","title":"Characterizing toxicity and chemical profile of acidic,basic and neutral fractions of oil sands process affected water","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University; Chinese Academy of Sciences; Syncrude","keywords":"Oil sands; Chemistry; Process (computing); Chemical toxicity; Environmental chemistry; Petroleum engineering; Environmental science; Materials science; Engineering; Water pollutants; Asphalt; Computer science; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070865,0.0002383119,0.0001589947,0.0005740938,0.0001952958,0.0002543755,0.0001307231,0.0002008155,0.0003501931],"category_scores_gemma":[0.0001366639,0.0000792245,0.0001482091,0.0003239614,0.0002002818,0.0001967972,0.0002770585,0.0001776984,0.00007506795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788002,"about_ca_system_score_gemma":0.0002732615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293562,"about_ca_topic_score_gemma":0.004413313,"domain_scores_codex":[0.9998734,0.000008714193,0.00001000208,0.00002449052,0.00006478444,0.00001852035],"domain_scores_gemma":[0.9999373,0.000006310624,0.00002363292,0.000002043698,0.00002177681,0.000008909682],"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":[0.00008730702,0.00002632493,0.008224771,0.0000786235,0.00001008229,0.00009325079,0.00007045507,0.0001194556,0.9872947,0.00002779973,0.00002549996,0.003941628],"study_design_scores_gemma":[0.000009563056,0.0009283544,0.1349722,0.00002206923,0.00005402506,0.0003610855,0.0004683626,0.001923095,0.8582286,0.0001077234,0.002903197,0.00002174026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980814,0.0002822092,0.0008205816,0.00001352148,0.000003120996,0.00002662008,0.0002056694,0.00001564132,0.0005512659],"genre_scores_gemma":[0.9932253,0.0009151681,0.00337012,0.00006122176,0.00000466454,0.00005144402,0.0005943524,0.000009316699,0.001768437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293562,"threshold_uncertainty_score":0.004560471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007294840114519414,"score_gpt":0.2549940033927547,"score_spread":0.2476991632782353,"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."}}