{"id":"W2060918964","doi":"10.2118/160314-pa","title":"Wanted Dead or Live: Crude-Cocktail Viscosity--A Pseudocomponent Method to Predict the Viscosity of Dead Oils, Live Oils, and Mixtures","year":2013,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); University of Calgary","funders":"","keywords":"Viscosity; Crude oil; Chemistry; Mixing (physics); Thermodynamics; Gas oil ratio; Chromatography; Analytical Chemistry (journal); Petroleum engineering; Organic chemistry; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005950605,0.0003904188,0.0009517426,0.002086896,0.0003496369,0.0001311573,0.001168562,0.0004825001,0.0005314085],"category_scores_gemma":[0.0004544994,0.0002668049,0.0002527436,0.0009560774,0.0003169486,0.0002092081,0.0001705397,0.001164638,0.00002617184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145004,"about_ca_system_score_gemma":0.000800644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03573202,"about_ca_topic_score_gemma":0.04130495,"domain_scores_codex":[0.9972812,0.0001194765,0.0009600318,0.0004029576,0.0004826588,0.0007536673],"domain_scores_gemma":[0.9971227,0.0002156497,0.0008177928,0.0005753479,0.0005554591,0.0007130671],"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":[0.0002993074,0.0002438994,0.01740843,0.0002986044,0.001119063,0.0003262113,0.0006907218,0.0001758615,0.9028,0.0001797421,0.009541374,0.06691682],"study_design_scores_gemma":[0.005570197,0.002054837,0.0153468,0.002414661,0.00263681,0.006083348,0.008757858,0.004669573,0.8453745,0.002071528,0.1030136,0.002006307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781238,0.002408052,0.001778687,0.01636255,0.00007978758,0.00004057972,0.00006674958,0.00006074242,0.001078988],"genre_scores_gemma":[0.9888728,0.0003418993,0.008610511,0.0004840711,0.0001695085,0.00002406093,0.000004458389,0.00004053724,0.001452171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09347218,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009152982453048561,"score_gpt":0.244754292158113,"score_spread":0.2356013097050645,"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."}}