{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004694888,0.000143923,0.0002898468,0.00001706141,0.0001413713,0.00009127983,0.001316985,0.00008199564,0.000004080056],"category_scores_gemma":[0.001004907,0.00006557786,0.0001195679,0.00002932109,0.00007860378,0.0001383196,0.0002368805,0.0004716346,6.378503e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001498566,"about_ca_system_score_gemma":0.0000268203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007873742,"about_ca_topic_score_gemma":2.057665e-7,"domain_scores_codex":[0.999125,0.00000847579,0.0002720967,0.0001475839,0.0003054928,0.0001413714],"domain_scores_gemma":[0.9976879,0.0007838155,0.0003898774,0.001003951,0.00008268424,0.00005180846],"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":[0.000099021,0.00007718911,0.00001696815,0.0004847058,0.0003290176,0.000001098388,0.00004703761,0.001021682,0.9963185,0.00008130609,0.0007389868,0.0007844733],"study_design_scores_gemma":[0.0003490446,0.00005335461,0.0000376685,0.0006724718,0.000312382,0.0000037938,0.00001260216,0.02792455,0.9700872,0.00005610866,0.0004197034,0.00007117182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961795,0.001005038,0.0007809283,0.001739744,0.0000539187,0.00003321488,0.0001473902,0.000005665821,0.00005460551],"genre_scores_gemma":[0.9994507,0.00009698641,0.0001370997,0.00005077502,0.0001936138,0.000004315425,0.000005848088,0.00001167952,0.00004892509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02690287,"threshold_uncertainty_score":0.2674188,"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."}}