{"id":"W1976716721","doi":"10.1002/pen.20605","title":"A new hybrid approach using the explicit dynamic finite element method and thermodynamic law for the analysis of the thermoforming and blow molding processes for polymer materials","year":2006,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Thermoforming; Viscoelasticity; Materials science; Finite element method; Work (physics); Second law of thermodynamics; Thermoplastic; Mechanics; Stress (linguistics); Composite material; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006541826,0.00017904,0.0002625376,0.00009349023,0.0005120796,0.00006969777,0.0002549455,0.00003444389,0.000001934597],"category_scores_gemma":[0.00008760338,0.00009594293,0.00005835194,0.0004578957,0.0001993838,0.0001038267,0.0001447324,0.00006981025,9.942284e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001953472,"about_ca_system_score_gemma":0.00002806925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000334674,"about_ca_topic_score_gemma":0.0000188731,"domain_scores_codex":[0.9990141,0.00001275057,0.0002379396,0.0002845683,0.0001242119,0.0003264392],"domain_scores_gemma":[0.9988904,0.0007458578,0.00008516297,0.0002059591,0.00003925035,0.00003334093],"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":[0.00001442362,0.000008631157,0.000155582,0.0001347176,0.0002375847,6.96981e-8,0.0006002688,0.05702349,0.9026709,0.03720015,4.712213e-7,0.001953658],"study_design_scores_gemma":[0.0001510646,0.000007837598,0.0005319522,0.0000242421,0.0003756004,0.000006899051,0.0001009563,0.8833969,0.1151502,0.0001366246,0.000002356876,0.0001153337],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4281037,0.004312545,0.5671857,0.00009203649,0.0000469003,0.0002055464,0.00002820859,0.00001598593,0.000009371774],"genre_scores_gemma":[0.9934504,0.00005462435,0.006262187,0.00002949243,0.00003064288,0.00006668518,0.000002252654,0.00001669574,0.00008699374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8263734,"threshold_uncertainty_score":0.3938554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070965159099528,"score_gpt":0.2464498812367637,"score_spread":0.2357402296457684,"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."}}