{"id":"W2777197303","doi":"10.1016/j.fuel.2017.11.071","title":"Regular solution based approach to modeling asphaltene precipitation from native and reacted oils: Part 2, molecular weight, density, and solubility parameter of saturates, aromatics, and resins","year":2017,"lang":"en","type":"article","venue":"Fuel","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Shell","keywords":"Asphaltene; Solubility; Hildebrand solubility parameter; Fraction (chemistry); Precipitation; Chemistry; Mass fraction; Yield (engineering); Organic chemistry; Chemical engineering; Thermodynamics; Chromatography; Analytical Chemistry (journal)","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":[0.000644021,0.0007219273,0.0008779951,0.000552376,0.0004572098,0.0008371135,0.001567402,0.002160486,0.001785476],"category_scores_gemma":[0.001441777,0.000688568,0.00107023,0.00043838,0.0009725764,0.0007792784,0.0006940669,0.001177,0.0003609545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045514,"about_ca_system_score_gemma":0.00122962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764795,"about_ca_topic_score_gemma":0.008819254,"domain_scores_codex":[0.9998172,0.00005270097,0.00001044194,0.00003181182,0.00005795443,0.00002986988],"domain_scores_gemma":[0.9994681,0.0002693462,0.00005470916,0.00003400304,0.000138704,0.00003508476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001425933,0.00001770856,0.0001162742,0.0000149815,0.00001020245,0.00002314223,0.000009734264,0.9952025,0.00086965,0.002393973,0.0001203623,0.001207219],"study_design_scores_gemma":[0.000001842586,0.00000185083,0.0000100015,5.676943e-7,9.341433e-7,0.00000139557,0.000001094,0.999621,0.0001176174,0.0001779476,0.00006471596,8.350814e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313941,0.0005504415,0.8543267,0.0005457185,0.000144693,0.0001227324,0.0003613433,0.0005871702,0.01196717],"genre_scores_gemma":[0.8430033,0.0005156405,0.1352071,0.0003283127,0.0001019021,0.0004249872,0.0005661931,0.0004024383,0.01945003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01764795,"threshold_uncertainty_score":0.03509045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434722601669737,"score_gpt":0.2488075090794363,"score_spread":0.2244602830627389,"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."}}