{"id":"W4382814541","doi":"10.1002/cjce.24944","title":"Using transient energy release measurements for the in‐line characterization of<scp>non‐Newtonian</scp>fluids and fluid state in pipe flow","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Rheology; Acoustic emission; Rheometer; Non-Newtonian fluid; Transient (computer programming); Acoustics; Materials science; Newtonian fluid; Time domain; Frequency domain; Transient state; Mechanics; Mathematics; Physics; Computer science; Engineering; Electrical engineering; Mathematical analysis; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005493381,0.0001302293,0.0002299431,0.0003294888,0.0000318899,0.00002952517,0.0001618409,0.0000501528,0.000001933622],"category_scores_gemma":[0.0001210335,0.0001000733,0.00007805331,0.0005450561,0.00002416876,0.0000965592,0.000005730177,0.0001650177,1.969845e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677396,"about_ca_system_score_gemma":0.0001005622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004431895,"about_ca_topic_score_gemma":0.0006999795,"domain_scores_codex":[0.9990155,0.00001181633,0.0004090186,0.00007410102,0.0001937425,0.0002958637],"domain_scores_gemma":[0.99955,0.00007926663,0.00004540302,0.0000977667,0.0000729794,0.0001546018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002979859,0.000002099755,0.0001557567,0.00004015702,0.00004381355,0.000004797708,0.0003201122,0.3786385,0.6200221,0.000002379629,0.000010608,0.0007567109],"study_design_scores_gemma":[0.0003905746,0.000008767876,0.0008315454,0.0001723045,0.00004333159,0.000005299357,0.00001393727,0.7982997,0.1999426,0.00001566867,0.0002222507,0.00005395127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707463,0.0005266349,0.02835573,0.00009450434,0.0001601247,0.00008669181,0.0000129585,0.00001086655,0.000006210754],"genre_scores_gemma":[0.9995404,0.00007098278,0.0002438874,0.00001469838,0.00008125329,0.000005265665,0.000006553938,0.00002914713,0.000007738607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4200794,"threshold_uncertainty_score":0.4080869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426845219745628,"score_gpt":0.1975886377940203,"score_spread":0.1733201855965641,"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."}}