{"id":"W2311212307","doi":"10.1021/acs.iecr.5b00806","title":"Role of Liquid Concentration in Coke Yield from Model Vacuum Residue–Coke Agglomerates","year":2015,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Coke; Agglomerate; Yield (engineering); Fraction (chemistry); Chemistry; Materials science; Residue (chemistry); Metallurgy; Chromatography; Composite material; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320309,0.0003619186,0.0003225739,0.0003453648,0.0002174434,0.0005763936,0.0003065156,0.0003583247,0.001197892],"category_scores_gemma":[0.000758404,0.0001936569,0.0002688679,0.0003120459,0.0003509058,0.0004166492,0.0002476471,0.0004692298,0.0003971881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000508591,"about_ca_system_score_gemma":0.0002207355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002820372,"about_ca_topic_score_gemma":0.004655506,"domain_scores_codex":[0.9996803,0.00004119852,0.00002238353,0.00007459107,0.0001100188,0.00007158891],"domain_scores_gemma":[0.9996791,0.000156009,0.0000513852,0.00002403223,0.00007019882,0.00001928633],"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":[0.0002434148,0.00002055548,0.0007411679,0.00004669924,0.00000741654,0.00004651989,0.00003530511,0.0005400909,0.9964702,0.00005581737,0.00001853957,0.001774305],"study_design_scores_gemma":[0.000001603047,0.00007947547,0.001057466,0.000002059142,0.000004272345,0.00001022553,0.00001389667,0.0009518784,0.9977466,0.000008922744,0.0001207557,0.000002768868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962578,0.0004449117,0.00179722,0.00003050452,0.000006501813,0.00001427293,0.0001947693,0.0000920973,0.001161898],"genre_scores_gemma":[0.9980819,0.0002134641,0.0007362335,0.000008342765,0.000001391091,0.00001108924,0.0001666246,0.00002983966,0.0007511647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002820372,"threshold_uncertainty_score":0.005607903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016677664659962,"score_gpt":0.3173362636776061,"score_spread":0.2156684972116099,"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."}}