{"id":"W2089879629","doi":"10.1115/detc2010-28472","title":"A Viscoelastic Based Mechanism for Improving Spring-In Angle Predictions in Compression Molded Thermoplastic Matrix Composites","year":2010,"lang":"en","type":"article","venue":"","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Composite material; Materials science; Compression molding; Viscoelasticity; Thermoplastic; Spring (device); Finite element method; Composite number; Matrix (chemical analysis); Compression (physics); Mold; Structural engineering","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":[0.000107732,0.0001808309,0.0001887682,0.0002652935,0.00005522122,0.00005301638,0.0001728156,0.0001215256,0.00004693282],"category_scores_gemma":[0.0001205163,0.00017387,0.0000404776,0.0002135775,0.0000190189,0.0001431729,0.00003298372,0.0002931855,0.00000898803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004686754,"about_ca_system_score_gemma":0.00002987082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040027,"about_ca_topic_score_gemma":0.001338977,"domain_scores_codex":[0.9990461,0.0000109653,0.000279575,0.0002226444,0.0001184505,0.0003222988],"domain_scores_gemma":[0.9992757,0.0003913468,0.00003150911,0.0001966939,0.00003872257,0.0000660005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002610382,0.00009864918,0.004396704,0.0006031676,0.00000735295,0.000006021038,0.00007077965,0.1881005,0.804259,0.002249338,0.00001725123,0.0001650741],"study_design_scores_gemma":[0.0008435989,0.00004308428,0.006508185,0.0001286864,0.00001174254,0.000003045095,0.00001603276,0.8685774,0.1231575,0.0005107422,0.00001832737,0.0001816121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137206,0.0000404364,0.2846494,0.00002660824,0.0004134188,0.0003978619,0.00001045784,0.0004384411,0.0003027039],"genre_scores_gemma":[0.9780898,0.000001543052,0.02158599,0.00001110548,0.00005241744,0.0001564753,0.000005511227,0.00005460601,0.00004257477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6811015,"threshold_uncertainty_score":0.7090211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006397531725934181,"score_gpt":0.2272516590214808,"score_spread":0.2208541272955467,"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."}}