{"id":"W4284991936","doi":"10.1016/j.progpolymsci.2022.101580","title":"Large amplitude oscillatory shear flow: Microstructural assessment of polymeric systems","year":2022,"lang":"en","type":"article","venue":"Progress in Polymer Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Calgary; University of Waterloo","funders":"","keywords":"Materials science; Amplitude; Shear (geology); Shear flow; Flow (mathematics); Composite material; Mechanics; Physics; Optics","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":[0.0005912402,0.0001479464,0.0002711295,0.0002234206,0.0003578824,0.00002352226,0.0006438352,0.00003586122,0.00005446453],"category_scores_gemma":[0.00001887162,0.0001416327,0.00004942856,0.0009089114,0.000788164,0.0001370061,0.0007945042,0.0003029107,0.000001453665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787143,"about_ca_system_score_gemma":0.0001346635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004025599,"about_ca_topic_score_gemma":0.000001612535,"domain_scores_codex":[0.9981204,0.00004934788,0.0003451001,0.0003931488,0.0005253029,0.000566703],"domain_scores_gemma":[0.9994251,0.00005093819,0.00009950644,0.0003155067,0.00003925839,0.00006974488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004294665,0.0003133342,0.7409232,0.000180209,0.00007248783,0.00003950386,0.002976011,0.001777973,0.1057341,0.1413106,0.00004262456,0.00658711],"study_design_scores_gemma":[0.0005592774,0.00008192438,0.05307899,0.00002735815,0.00001078546,0.00004328708,0.0007332103,0.9329919,0.01206696,0.00003312815,0.00006575903,0.0003074418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318686,0.155943,0.007867674,0.0001637505,0.002338095,0.000306514,0.0001062431,0.0001314083,0.001274717],"genre_scores_gemma":[0.9986201,0.00001522758,0.0009570055,0.00003499892,0.00002446023,0.0001032371,0.000003511645,0.00001190607,0.0002295623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9312139,"threshold_uncertainty_score":0.5775615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007978831806539128,"score_gpt":0.2754634338491405,"score_spread":0.2674846020426013,"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."}}