{"id":"W2593184416","doi":"10.1021/acs.jced.6b00619","title":"Improvement on the Viscosity Models for the Effects of Temperature and Pressure on the Viscosity of Heavy Crude Oils","year":2017,"lang":"en","type":"article","venue":"Journal of Chemical & Engineering Data","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Viscosity; Asphalt; Petroleum engineering; Light crude oil; Rheology; Crude oil; Physical property; Oil viscosity; Environmental science; Thermodynamics; Process engineering; Chemistry; Materials science; Engineering; Physics","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":[0.001428256,0.0008939689,0.000606656,0.0005232894,0.0003413388,0.0006248052,0.001901867,0.0008022961,0.001519548],"category_scores_gemma":[0.006754878,0.0004595148,0.001058108,0.0005253988,0.0003372102,0.001908858,0.0004216092,0.001660154,0.0007441094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007732107,"about_ca_system_score_gemma":0.001182781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007672694,"about_ca_topic_score_gemma":0.004768553,"domain_scores_codex":[0.9991301,0.000165728,0.00006838216,0.0001589017,0.0004329565,0.00004405339],"domain_scores_gemma":[0.9980066,0.0008763578,0.0002941094,0.0002910468,0.0005110516,0.00002072044],"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":[0.0001356689,0.0004904372,0.005124787,0.0002767669,0.00006615424,0.0002128576,0.0002915316,0.8149685,0.09181231,0.0142985,0.00114709,0.07117549],"study_design_scores_gemma":[0.000009524457,0.00003561819,0.001076323,0.000008535942,0.00001348603,0.0000367357,0.000007332642,0.9861897,0.01077387,0.0005889562,0.001244371,0.0000155099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1419306,0.000428544,0.8484752,0.0003496295,0.0001167094,0.0003086994,0.000399168,0.001037266,0.006954162],"genre_scores_gemma":[0.8323523,0.0008306349,0.1549282,0.0001597865,0.00004639024,0.0004462955,0.0005047814,0.0002869508,0.01044466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007672694,"threshold_uncertainty_score":0.01525605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557711388744099,"score_gpt":0.2475154597018731,"score_spread":0.2319383458144321,"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."}}