{"id":"W2424762994","doi":"10.1080/10934529.2016.1191308","title":"Oil recovery from petroleum sludge through ultrasonic assisted solvent extraction","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Utah Agricultural Experiment Station","keywords":"Extraction (chemistry); Solvent; Cyclohexane; Refinery; Ethyl acetate; Chromatography; Solvent extraction; Chemistry; Pulp and paper industry; Waste management; Materials science; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.000771353,0.0001120137,0.0002377025,0.00005715101,0.000367089,0.00005610772,0.000180798,0.00004997919,0.0006495127],"category_scores_gemma":[0.00003920739,0.00007248875,0.00008828766,0.00008852888,0.0002847867,0.000757616,0.00003282703,0.0001694197,0.00001890189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006281208,"about_ca_system_score_gemma":0.0002416826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004963774,"about_ca_topic_score_gemma":0.00001338991,"domain_scores_codex":[0.9983321,0.00001900732,0.0004481059,0.000234937,0.000647126,0.0003187461],"domain_scores_gemma":[0.9989546,0.00005943616,0.0005965626,0.0001320082,0.00001499526,0.0002424273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003475755,0.0001531115,0.006659212,0.00001603198,0.00002342001,0.000007296772,0.00009766834,0.000003575898,0.7308859,0.000002458069,0.0004352428,0.2616813],"study_design_scores_gemma":[0.005919289,0.001211176,0.2817147,0.002852712,0.0003217901,0.000819726,0.00409259,0.0002953995,0.1386466,0.0005647862,0.5624362,0.001125032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917418,0.001848379,0.0001525008,0.003754545,0.0001511229,0.000002255996,0.00002882445,0.000007816088,0.002312783],"genre_scores_gemma":[0.9880251,0.008220923,0.0004208094,0.0004539235,0.000270662,0.000001449312,0.000001862006,0.000006853788,0.002598396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5922393,"threshold_uncertainty_score":0.7111709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852013900769201,"score_gpt":0.2955403917711737,"score_spread":0.2670202527634817,"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."}}