{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002892541,0.0001046741,0.0001586158,0.0001226148,0.0001283381,0.00002268622,0.0003260933,0.00005154796,0.00001388508],"category_scores_gemma":[0.00008099559,0.00009006607,0.00001224476,0.0004047544,0.0002228109,0.0003657711,0.0001559839,0.00006325155,0.000001969922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004439181,"about_ca_system_score_gemma":0.0001085301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005136037,"about_ca_topic_score_gemma":0.0002274284,"domain_scores_codex":[0.9989902,0.000007925833,0.0001891807,0.0003916908,0.000213214,0.0002077286],"domain_scores_gemma":[0.9993944,0.00006795231,0.00007105077,0.0003223582,0.0000808487,0.0000633465],"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":[0.0004988811,0.00005531234,0.003528017,0.0000242489,0.00006457667,0.000001175225,0.002452186,0.0007583771,0.9760233,0.01211376,0.0001630144,0.004317184],"study_design_scores_gemma":[0.001018263,0.00006542577,0.001149405,0.0000608403,0.00002434166,0.00000212467,0.00004406167,0.8274019,0.169846,0.0002779856,0.000004420806,0.0001052767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4490722,0.0004187175,0.5499082,0.0001010174,0.0001973641,0.0001787183,0.00001732047,0.00001634663,0.00009013362],"genre_scores_gemma":[0.9734653,0.0000108931,0.02559094,0.0000285354,0.00003911058,0.00001235481,0.00002685819,0.000008329735,0.0008176444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8266435,"threshold_uncertainty_score":0.3672788,"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."}}