{"id":"W4281802086","doi":"10.1016/j.chemosphere.2022.135278","title":"Enhancing low-temperature thermal remediation of petroleum sludge by solvent deasphalting","year":2022,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Asphaltene; Dispersant; Petroleum; Residual oil; Thermal treatment; Oil sludge; Chemical engineering; Materials science; Chemistry; Thermal desorption; Solvent; Distillation; Desorption; Pulp and paper industry; Waste management; Organic chemistry; Dispersion (optics); Composite material; Adsorption","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008846955,0.0002675086,0.0002100879,0.0001503017,0.0001390582,0.0002357543,0.0001394712,0.0002274462,0.000950571],"category_scores_gemma":[0.0001346228,0.0000986145,0.0002578695,0.0001262419,0.0001279654,0.0002664156,0.0001919886,0.0003308248,0.0002793089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798748,"about_ca_system_score_gemma":0.0002252217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007149364,"about_ca_topic_score_gemma":0.001829584,"domain_scores_codex":[0.999922,0.000008615455,0.00000511946,0.00001552225,0.00002569291,0.00002295812],"domain_scores_gemma":[0.9999571,0.000007369504,0.00001035417,0.000004730294,0.00001424389,0.000006258761],"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":[0.00005295092,0.00001857799,0.0001071103,0.00003273749,0.000002742805,0.0000132878,0.000009712168,0.0002491674,0.9961647,0.00004249649,0.00002847955,0.003277973],"study_design_scores_gemma":[0.00000174498,0.00004874274,0.0003777069,0.000001287188,0.000002633212,0.00001340572,0.000006258343,0.0006735878,0.9985315,0.00001253569,0.000328956,0.000001654939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918155,0.0004406767,0.006229289,0.00007571124,0.00002782659,0.00001850409,0.00007974941,0.00007427857,0.001238444],"genre_scores_gemma":[0.9957393,0.0002952754,0.002337844,0.00002102477,0.00000536942,0.000006919351,0.00006089363,0.00001162916,0.001521704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000950571,"threshold_uncertainty_score":0.003179967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00465836666048075,"score_gpt":0.2075571418245186,"score_spread":0.2028987751640378,"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."}}