{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645294,0.0002215103,0.0002844564,0.00008585444,0.00005518878,0.00002258241,0.000110732,0.0001326354,0.00007439301],"category_scores_gemma":[0.00003618513,0.0001996652,0.00008513994,0.0001402601,0.00004764639,0.0003797436,0.00003890204,0.00009654192,0.000005703207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333592,"about_ca_system_score_gemma":0.00002701259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004039972,"about_ca_topic_score_gemma":0.0002763972,"domain_scores_codex":[0.9985844,0.00005165524,0.0005135418,0.0003101435,0.0002225526,0.0003177028],"domain_scores_gemma":[0.9991796,0.0002178321,0.000130042,0.0003045921,0.00003643934,0.0001314692],"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":[0.00005813778,0.00006526891,0.002728617,0.00002698467,0.0001592414,0.000008814886,0.0001393683,0.001099012,0.9277488,0.0002824517,0.0006015656,0.06708173],"study_design_scores_gemma":[0.0004247689,0.00008279785,0.001600368,0.000210939,0.00003638346,0.0000035561,0.00003116408,0.000458308,0.9851035,0.007427287,0.00437045,0.0002504893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493725,0.001821991,0.04524684,0.0001652537,0.0006393546,0.0001005345,0.00003058688,0.0004097802,0.002213127],"genre_scores_gemma":[0.995065,0.002880363,0.001429232,0.00006890644,0.0001622341,0.0000905679,0.0000151999,0.00005769113,0.0002307923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06683124,"threshold_uncertainty_score":0.8142111,"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."}}