{"id":"W2919902169","doi":"10.1002/cjce.23489","title":"Macroscopic and mesoscopic simulation of viscoelastic free surface flow in gas‐assisted injection moulding process","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mesoscopic physics; Mechanics; Viscoelasticity; Materials science; Flow (mathematics); Injection moulding; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553708,0.0002961906,0.0002440573,0.000246031,0.0002268384,0.0002816356,0.0004358987,0.0006035941,0.0006989724],"category_scores_gemma":[0.0003326426,0.0001466248,0.0002843851,0.0001425001,0.0004491936,0.000346233,0.0002889751,0.0002775529,0.00004643134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774632,"about_ca_system_score_gemma":0.0003909935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231791,"about_ca_topic_score_gemma":0.001947348,"domain_scores_codex":[0.9999441,0.00001336588,0.000002151286,0.000007724959,0.00002013872,0.00001249525],"domain_scores_gemma":[0.9998969,0.00004831981,0.00001511755,0.00001142272,0.00001672546,0.00001157815],"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":[0.00006469234,0.00005587044,0.001661306,0.00004081792,0.00001495335,0.0001113218,0.00006410766,0.9523346,0.03551539,0.003681402,0.0001306604,0.006324835],"study_design_scores_gemma":[0.000002298184,0.000006531178,0.0001294692,5.807839e-7,6.861723e-7,0.000002925384,0.000002131729,0.998936,0.0008153243,0.00006584873,0.00003692318,0.000001357154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230813,0.0001785556,0.1715459,0.0001285557,0.00003612673,0.00004279547,0.00006165556,0.0003575827,0.00456743],"genre_scores_gemma":[0.9868212,0.00003531265,0.01255797,0.000009146534,0.000003211385,0.00001903317,0.00001864868,0.00001454068,0.0005210458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004231791,"threshold_uncertainty_score":0.008414268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005848492589711715,"score_gpt":0.2126855813020212,"score_spread":0.2068370887123095,"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."}}