{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796169,0.000460753,0.0002199441,0.001877128,0.0002615215,0.0003590086,0.0005123756,0.0001900275,0.002106956],"category_scores_gemma":[0.00140319,0.0003956877,0.0002299503,0.001186102,0.0004044867,0.0009679267,0.0004013109,0.0004713154,0.0006816195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610962,"about_ca_system_score_gemma":0.000308867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233669,"about_ca_topic_score_gemma":0.006436254,"domain_scores_codex":[0.9992601,0.00004715702,0.00003022113,0.0001832493,0.0004174394,0.00006183021],"domain_scores_gemma":[0.9993367,0.0001643229,0.000106864,0.00004008816,0.0003237659,0.000028288],"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":[0.0004555346,0.0000471219,0.02113627,0.0001359224,0.00006097677,0.000110737,0.0003572126,0.00243239,0.9491166,0.001057567,0.0003381603,0.02475155],"study_design_scores_gemma":[0.000007013051,0.0001162635,0.05340784,0.00002073059,0.00005208792,0.000218034,0.0002137063,0.009646658,0.933169,0.000373593,0.002722919,0.00005216577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638204,0.001534167,0.0232175,0.00004968343,0.0000341229,0.00004882214,0.0018016,0.000396945,0.009096711],"genre_scores_gemma":[0.9829718,0.0009879932,0.011389,0.00002362324,0.00001029751,0.00006166727,0.001810669,0.0001038728,0.002641017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006233669,"threshold_uncertainty_score":0.01239479,"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."}}