{"id":"W2056476147","doi":"10.1007/s00397-004-0419-y","title":"Damping function for narrow and large molecular weight polymers: comparison with the force-balanced network model","year":2005,"lang":"en","type":"article","venue":"Rheologica Acta","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Dispersity; Polystyrene; Viscoelasticity; Polymer; Materials science; High-density polyethylene; Softening; Thermodynamics; Polyethylene; Shear stress; Molar mass distribution; Range (aeronautics); Relaxation (psychology); Shear (geology); Polymer chemistry; Mechanics; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001680376,0.0001850054,0.0002585943,0.00001910242,0.0003101332,0.00001468265,0.0001443928,0.0001433187,0.0000226364],"category_scores_gemma":[0.00003359343,0.0001149276,0.00005487321,0.00008808728,0.0001127719,0.0000796297,0.00008436999,0.0002097363,0.000002325989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002372552,"about_ca_system_score_gemma":0.000008306944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001237062,"about_ca_topic_score_gemma":0.00001510843,"domain_scores_codex":[0.9990347,0.00002163863,0.000164565,0.0002691518,0.0000833903,0.0004265218],"domain_scores_gemma":[0.9994919,0.0001661741,0.00007183652,0.0001914283,0.00003442441,0.00004424997],"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":[0.001163328,0.0001377994,0.007344897,0.0000713425,0.0005299345,0.000003153217,0.0009142822,0.4657811,0.09110264,0.424593,0.006813982,0.001544592],"study_design_scores_gemma":[0.0007223182,0.0001016504,0.0003105708,0.00001428231,0.00006469669,0.00000440929,0.00006287787,0.9959161,0.0005535628,0.0006972263,0.001375206,0.0001771449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1412336,0.002517934,0.8514724,0.002555654,0.00005577177,0.0002469109,0.000006897895,0.0001261772,0.001784602],"genre_scores_gemma":[0.9900274,0.00004986117,0.006771651,0.0007697096,0.000132461,0.00008595093,0.00002222576,0.00001851646,0.002122277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8487937,"threshold_uncertainty_score":0.4686611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009327416527858817,"score_gpt":0.2222452377127228,"score_spread":0.212917821184864,"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."}}