{"id":"W2336015651","doi":"10.1021/acs.energyfuels.5b01376","title":"Density and Refractive Index of Petroleum, Cuts, and Mixtures","year":2015,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Virtual Materials Group; Petrobras; China National Offshore Oil Corporation; Shell","keywords":"Refractive index; Mixing (physics); Component (thermodynamics); Distillation; Thermodynamics; Atmospheric pressure; Chemistry; Materials science; Analytical Chemistry (journal); Chromatography; Meteorology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009100831,0.0001134222,0.0002255317,0.00005207867,0.00004909805,0.00002694949,0.00007129931,0.00009717741,0.00002417222],"category_scores_gemma":[0.00006839664,0.00009991799,0.00003439089,0.00006599849,0.00009838439,0.00008831374,0.00006258871,0.0001002459,6.927924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924045,"about_ca_system_score_gemma":0.00004346623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004535464,"about_ca_topic_score_gemma":0.00005368519,"domain_scores_codex":[0.9993334,0.00001756946,0.0001346853,0.0002171387,0.0001661692,0.000130997],"domain_scores_gemma":[0.9994868,0.00003729311,0.0001100115,0.0001606696,0.00007753421,0.0001276634],"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":[0.000161633,0.000104148,0.06452275,0.0001142147,0.0002722908,0.00002452222,0.0005580946,0.00002468346,0.8903332,0.0004412091,0.0007486121,0.04269463],"study_design_scores_gemma":[0.0008946595,0.00003699861,0.00250763,0.00007126724,0.0001274191,0.00003449472,0.0005846621,0.0002624506,0.9672729,0.002235988,0.025715,0.0002564938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968509,0.002669946,0.0001890986,0.00009280868,0.00001515551,9.837162e-7,0.000004820892,0.00002635469,0.02849187],"genre_scores_gemma":[0.9911656,0.0001471476,0.0001149327,0.00006422932,0.00008229938,0.000001989542,0.000007939641,0.000009780119,0.008406089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07693972,"threshold_uncertainty_score":0.4074537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102775656851638,"score_gpt":0.2318560374796622,"score_spread":0.2215784717944984,"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."}}