{"id":"W2793648316","doi":"10.1007/s00396-018-4300-4","title":"New mechanism and correlation for degradation of drag-reducing agents in turbulent flow with measured data from a double-gap rheometer","year":2018,"lang":"en","type":"article","venue":"Colloid & Polymer Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drag; Rheometer; Degradation (telecommunications); Polymer degradation; Arrhenius equation; Chemistry; Thermodynamics; Turbulence; Flow (mathematics); Polymer; Materials science; Rheology; Mechanics; Organic chemistry; Physics; Activation energy; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022332,0.0007472859,0.0004660928,0.001619664,0.0002887906,0.0007174077,0.001011592,0.0007842723,0.000907161],"category_scores_gemma":[0.00122722,0.0004620106,0.0004262895,0.0006744103,0.0007681326,0.00112974,0.0004408063,0.001151995,0.0002744845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496227,"about_ca_system_score_gemma":0.0002423324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003424376,"about_ca_topic_score_gemma":0.0002680552,"domain_scores_codex":[0.999639,0.00006093282,0.00002762218,0.0001130774,0.0001111217,0.00004822095],"domain_scores_gemma":[0.9987954,0.0003903522,0.000272929,0.0002196812,0.0002482048,0.00007335481],"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":[0.0002985048,0.0001286239,0.005415667,0.0001256157,0.00002466691,0.0001596809,0.00009986052,0.0004831943,0.985677,0.0009281985,0.0001764013,0.006482615],"study_design_scores_gemma":[0.00003312491,0.0003937518,0.01440752,0.00001946732,0.00005321132,0.0004653033,0.00005602672,0.03935723,0.9436284,0.0003372778,0.001193525,0.0000552789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099887,0.002125175,0.08468565,0.0001872086,0.0001246296,0.0001088034,0.0003205616,0.0006561634,0.001803089],"genre_scores_gemma":[0.9792964,0.0004197251,0.01930164,0.00007345089,0.00003257592,0.00005873993,0.0001262715,0.00003467358,0.0006564637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619664,"threshold_uncertainty_score":0.005406737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149074603638513,"score_gpt":0.278365473304918,"score_spread":0.2268747272685328,"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."}}