{"id":"W2056486970","doi":"10.1002/pen.22130","title":"Capillary flow of low‐density polyethylene","year":2012,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viscoelasticity; Materials science; Capillary action; Low-density polyethylene; Rheology; Thermodynamics; Compressibility; Pressure drop; Viscosity; Polyethylene; Isothermal process; Newtonian fluid; Mechanics; Composite material; 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":[0.0002349698,0.0001015841,0.0001468562,0.0000907713,0.00007723896,0.000005315818,0.0001204112,0.0000448693,0.000008257696],"category_scores_gemma":[0.0001001628,0.00009272698,0.00002546137,0.0002326402,0.000235046,0.0001538271,0.0001098854,0.0001049239,0.00000459623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001504596,"about_ca_system_score_gemma":0.00001169647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406068,"about_ca_topic_score_gemma":3.703168e-7,"domain_scores_codex":[0.9992464,0.000003253353,0.0001224768,0.0001344433,0.0001374916,0.000355896],"domain_scores_gemma":[0.9996319,0.00005454769,0.00001862015,0.0001433305,0.00002530309,0.0001263132],"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":[0.000002626561,0.00001523792,0.00567269,0.00003922706,0.00001113477,6.874649e-7,0.0005304803,0.001395684,0.9807853,0.01099401,0.000006072341,0.0005468646],"study_design_scores_gemma":[0.00008276347,0.000008539208,0.01058433,0.00002080648,0.000007430566,0.00001543198,0.00002456505,0.48135,0.5077675,0.000004824205,0.000009500592,0.0001242768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580141,0.006753161,0.03426427,0.00004583619,0.0003906792,0.00002582374,0.000002588064,0.00007110039,0.0004324251],"genre_scores_gemma":[0.9977709,0.00008342757,0.001779698,0.000018321,0.00006295974,0.000002147689,5.192157e-7,0.000007474249,0.0002745339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799544,"threshold_uncertainty_score":0.3781297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0054624455516075,"score_gpt":0.1990048862971634,"score_spread":0.1935424407455559,"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."}}