{"id":"W2531348710","doi":"10.1021/acs.energyfuels.6b01963","title":"Recovery of Heavy Hydrocarbons from Indonesian Carbonate Asphalt Rocks. Part 1: Solvent Extraction, Particle Sedimentation, and Solvent Recycling","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Heptane; Toluene; Asphaltene; Cyclohexane; Settling; Carbonate; Extraction (chemistry); Chemistry; Solvent; Hexane; Asphalt; Particle size; Mineralogy; Chemical engineering; Materials science; Chromatography; Organic chemistry; Composite material; Environmental engineering; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001775984,0.000463527,0.0003269678,0.0003584614,0.0002635525,0.0002027626,0.0002174745,0.0001692832,0.0005406118],"category_scores_gemma":[0.0002207678,0.0001396929,0.0003630382,0.0004032683,0.0001971583,0.0001965811,0.0002399391,0.0002495264,0.0002498383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823523,"about_ca_system_score_gemma":0.0004848927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009653171,"about_ca_topic_score_gemma":0.01387675,"domain_scores_codex":[0.9998251,0.00001375337,0.00001595355,0.00003113881,0.00008800271,0.00002611881],"domain_scores_gemma":[0.9999471,0.00001278909,0.00001367293,0.000006870637,0.00001370158,0.000005856647],"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":[0.0001217291,0.00005561524,0.002200572,0.0001841607,0.00001686826,0.0001028836,0.00004902975,0.000563262,0.977826,0.00006248001,0.00003920073,0.01877818],"study_design_scores_gemma":[0.000004449893,0.000130878,0.009735079,0.00000758626,0.00002051448,0.00009923203,0.00004117651,0.002304017,0.9868008,0.00002295158,0.0008240963,0.000009154286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917876,0.001258892,0.004894014,0.00002615464,0.00001080221,0.00007047422,0.0002355256,0.00003880253,0.001677756],"genre_scores_gemma":[0.9869042,0.002255798,0.007454546,0.00002110202,0.000006237574,0.00005003227,0.0003931505,0.00002918524,0.0028857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009653171,"threshold_uncertainty_score":0.01919401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009697598835415674,"score_gpt":0.2263329871067362,"score_spread":0.2166353882713205,"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."}}