{"id":"W2135660503","doi":"10.1515/epoly.2007.7.1.191","title":"Modeling of Nonlinear Viscoelastic Creep of Polycarbonate","year":2007,"lang":"en","type":"article","venue":"e-Polymers","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Creep; Viscoelasticity; Polycarbonate; Materials science; Nonlinear system; Constant (computer programming); Representation (politics); Composite material; Computer science; Physics","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":[0.0001738063,0.0003164671,0.0003028619,0.0003050893,0.0002077545,0.0002696326,0.0003143055,0.0004037166,0.0005383488],"category_scores_gemma":[0.0005569681,0.0001007089,0.0003247784,0.0002544025,0.0002739193,0.0004199531,0.0001549416,0.0002189935,0.0001303494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694496,"about_ca_system_score_gemma":0.0004397832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117564,"about_ca_topic_score_gemma":0.001917258,"domain_scores_codex":[0.9999048,0.00001644019,0.000004970276,0.00001806256,0.00004207714,0.00001366201],"domain_scores_gemma":[0.9998432,0.00005518152,0.00003990234,0.00001974301,0.0000334705,0.000008347593],"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":[0.00008715384,0.0001229847,0.002818885,0.0001396858,0.00002454202,0.0003048809,0.00008945468,0.7002502,0.2785258,0.003121369,0.0001652061,0.01434984],"study_design_scores_gemma":[0.000004214,0.00005768021,0.00154737,0.000004361368,0.00000461126,0.00007798292,0.000009935201,0.9766544,0.02066122,0.0003737193,0.000598193,0.000006449146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944159,0.0007616089,0.1000924,0.00008950403,0.0000213693,0.00003944712,0.00009783566,0.0001347202,0.004347193],"genre_scores_gemma":[0.9926657,0.0003534525,0.004960929,0.00001157013,0.000005048181,0.00002766603,0.00005992637,0.00001555715,0.001900137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002117564,"threshold_uncertainty_score":0.004210472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822007212912245,"score_gpt":0.2480994863214023,"score_spread":0.2298794141922798,"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."}}