{"id":"W1963565690","doi":"10.1361/105994906x150894","title":"Modeling the Viscosity Versus Temperature and Pressure of Light Hydrocarbon Solvents","year":2006,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cape Breton University","keywords":"Hydrocarbon; Viscosity; Thermodynamics; Materials science; Constant (computer programming); Hydrocarbon mixtures; Atmospheric temperature range; Work (physics); Analytical Chemistry (journal); Temperature dependence of liquid viscosity; Absolute deviation; Relative viscosity; Range (aeronautics); Light crude oil; Chemistry; Organic chemistry; Mathematics; Composite material; Physics; Statistics","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":[0.0001944188,0.0004023109,0.0003659912,0.0003171832,0.000366808,0.0007348337,0.0006318477,0.001240954,0.001409427],"category_scores_gemma":[0.0009810391,0.0003838437,0.0004614422,0.0003070661,0.0003584566,0.001244425,0.0002611251,0.0005163877,0.0001935362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007482611,"about_ca_system_score_gemma":0.0007983518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360205,"about_ca_topic_score_gemma":0.007631517,"domain_scores_codex":[0.9999495,0.00001082039,0.000002152278,0.000009895362,0.00001162409,0.00001597892],"domain_scores_gemma":[0.9996734,0.0002220225,0.00003661738,0.00001378187,0.00003153818,0.0000226676],"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":[0.00005930266,0.00008539657,0.001278207,0.00002804422,0.000007997923,0.00005028619,0.0000290394,0.9854372,0.008015926,0.00229073,0.0001040352,0.002613775],"study_design_scores_gemma":[0.000004155017,0.000009686168,0.00009027506,8.627911e-7,0.000001960432,0.000002610051,0.000002919687,0.9982806,0.00133839,0.0001949556,0.00007103288,0.000002428091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609774,0.00027714,0.03300436,0.0002584617,0.00002538449,0.00003551813,0.0001324886,0.0001226654,0.005166498],"genre_scores_gemma":[0.9948261,0.0001767192,0.003012382,0.0000174771,0.00000951397,0.00001835726,0.00004332276,0.00002141652,0.001874665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360205,"threshold_uncertainty_score":0.02704573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004343552959013685,"score_gpt":0.1750988813153164,"score_spread":0.1707553283563027,"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."}}