{"id":"W2050700271","doi":"10.1103/physreve.78.041502","title":"Mechanical rejuvenation and overaging in the soft glassy rheology model","year":2008,"lang":"en","type":"article","venue":"Physical Review E","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Creep; Rheology; Materials science; Rejuvenation; Deformation (meteorology); Stress relaxation; Relaxation (psychology); Viscoplasticity; Stress (linguistics); Constitutive equation; Composite material; Thermodynamics; Physics; Finite element method; Psychology","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":[0.0002444544,0.0003743145,0.0005523723,0.0003111191,0.0002928045,0.0004813413,0.000520094,0.0006419998,0.0008435147],"category_scores_gemma":[0.0006550754,0.0001937408,0.000705045,0.0002047488,0.0008784336,0.0006278017,0.000473757,0.0003882174,0.00007736365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942236,"about_ca_system_score_gemma":0.0005047739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370105,"about_ca_topic_score_gemma":0.003053256,"domain_scores_codex":[0.9999262,0.00001499089,0.000003508987,0.00001602238,0.00001653743,0.00002275832],"domain_scores_gemma":[0.9998456,0.00004869067,0.00004583759,0.00002297641,0.00001068375,0.00002609536],"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":[0.0001065837,0.00005957906,0.001430247,0.00005612842,0.00004165433,0.0002347697,0.000134557,0.9364526,0.04237748,0.01592267,0.0002188004,0.002965001],"study_design_scores_gemma":[0.00002235293,0.00005474565,0.0006150296,0.000003288393,0.00001199323,0.00002164158,0.00001425891,0.9947715,0.002053193,0.002228955,0.0001951913,0.000007911168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706398,0.0002546055,0.02594035,0.0001865825,0.00002018638,0.00003289504,0.000120581,0.00007224389,0.002732735],"genre_scores_gemma":[0.9955922,0.0002291818,0.002877126,0.00003658187,0.000006820182,0.00004416447,0.00006344502,0.0000195128,0.001130972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370105,"threshold_uncertainty_score":0.0106777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305736250242932,"score_gpt":0.2837283165253652,"score_spread":0.2506709540229359,"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."}}