{"id":"W2803084850","doi":"10.1142/s0217984918400365","title":"Molecular continua for polymeric liquids in large-amplitude oscillatory shear flow","year":2018,"lang":"en","type":"article","venue":"Modern Physics Letters B","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Dumbbell; Rheology; Shear flow; Shear (geology); Classical mechanics; Viscoelasticity; Extensional definition; Mechanics; Physics; Materials science; Thermodynamics; Composite material; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907968,0.00049067,0.0002279489,0.001299168,0.0004489209,0.0006554549,0.0008051462,0.0005705574,0.001819424],"category_scores_gemma":[0.001684716,0.0001513363,0.0004077565,0.0004464479,0.001142392,0.002238442,0.0007294759,0.001298696,0.0004727032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826912,"about_ca_system_score_gemma":0.0002699477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004629311,"about_ca_topic_score_gemma":0.0003939885,"domain_scores_codex":[0.9998073,0.00004900277,0.000006493196,0.00002927962,0.0000926776,0.00001529019],"domain_scores_gemma":[0.9994568,0.0002316076,0.0001265848,0.00009088976,0.00005622903,0.00003797274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004030674,0.00007908705,0.0009645329,0.0001597758,0.00001033477,0.000214691,0.0002190618,0.09438219,0.02634784,0.8593798,0.00070031,0.01750209],"study_design_scores_gemma":[0.000009162822,0.00004195488,0.0006876902,0.00002834997,0.000007900037,0.0001440311,0.00006585068,0.8822703,0.006888176,0.1035619,0.006273413,0.00002115551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1694684,0.002598059,0.802436,0.0007457697,0.0001884747,0.00005899302,0.0000773144,0.0005554467,0.0238716],"genre_scores_gemma":[0.8491352,0.001978544,0.1393716,0.0002673445,0.0002097631,0.0001160391,0.000125984,0.0001700618,0.008625432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001819424,"threshold_uncertainty_score":0.006086588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007524608912323305,"score_gpt":0.2261831627977987,"score_spread":0.2186585538854753,"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."}}