{"id":"W2081909694","doi":"10.1021/ef9000242","title":"Oil Characterization from Simulation of Experimental Distillation Data","year":2009,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Process Optimization and Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Boiling point; Bubble point; Distillation; Fraction (chemistry); Vacuum distillation; Mole fraction; Mass fraction; Chemistry; Naphtha; Boiling; Bubble; Thermodynamics; Characterization (materials science); Molar mass; Specific gravity; Chromatography; Materials science; Mineralogy; Organic chemistry; Computer science; Nanotechnology; Catalysis; Physical chemistry","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":[0.0004977555,0.0007327662,0.0004962504,0.0007013388,0.0004077066,0.0006118637,0.0006847166,0.000540542,0.002906653],"category_scores_gemma":[0.00182956,0.0003020018,0.0005798399,0.0005560364,0.0003618635,0.0005477928,0.0003879598,0.0006384021,0.0004916338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009436395,"about_ca_system_score_gemma":0.001573606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372717,"about_ca_topic_score_gemma":0.009220825,"domain_scores_codex":[0.9997757,0.00003227255,0.00001703229,0.0000368479,0.0001050141,0.00003317435],"domain_scores_gemma":[0.9992412,0.0003862754,0.00006167704,0.0000684361,0.0002122462,0.00003014537],"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":[0.0001216094,0.00005420039,0.002991914,0.0001115522,0.0000113222,0.00005973089,0.00004762611,0.9829552,0.006729496,0.0008147258,0.000234773,0.005867889],"study_design_scores_gemma":[0.00001374666,0.00003918342,0.0005810251,0.000006706236,0.000004041337,0.000007089806,0.00001738016,0.9911351,0.00738274,0.0002268895,0.0005777819,0.000008254288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376362,0.0002397231,0.1420386,0.0001911892,0.00005678729,0.0004494363,0.003319344,0.00170028,0.01436844],"genre_scores_gemma":[0.9714254,0.0001429879,0.02470502,0.00001827766,0.000005163431,0.0002846776,0.001828673,0.0001154031,0.00147438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372717,"threshold_uncertainty_score":0.02729452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812442687428647,"score_gpt":0.2479856620514334,"score_spread":0.2298612351771469,"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."}}