{"id":"W3125661028","doi":"10.5267/j.esm.2020.12.004","title":"Material modelling of FDM printed PLA part","year":2021,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital image correlation; Viscoplasticity; Materials science; Thermoplastic; Composite material; Finite element method; Fused deposition modeling; Deformation (meteorology); Softening; Work (physics); Constitutive equation; 3D printing; Structural engineering; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001080733,0.0002012457,0.0002828144,0.00009942286,0.00002681101,0.00002363994,0.0001793433,0.0001491184,0.00007202533],"category_scores_gemma":[0.00008318349,0.0002293696,0.00008006346,0.0001513674,0.000008426298,0.00005633405,0.0001159665,0.0002442168,0.00001243615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004065288,"about_ca_system_score_gemma":0.00001558844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001560325,"about_ca_topic_score_gemma":4.214636e-7,"domain_scores_codex":[0.9990625,0.000007767208,0.0002949623,0.0001897422,0.0001345058,0.0003105234],"domain_scores_gemma":[0.9994711,0.00004271733,0.00003580448,0.0003485674,0.0000557577,0.00004603028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002657763,0.00001200961,8.720747e-7,0.0001774524,0.00006969281,0.0000210952,0.00006378983,0.9568217,0.03465616,0.006802046,0.0001164615,0.001256094],"study_design_scores_gemma":[0.00007081769,0.000008668583,0.000003290151,0.00008355278,0.000009708744,0.0000100512,0.00002316034,0.440625,0.5548036,0.0004619277,0.003754043,0.0001461267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2984539,0.000157306,0.697818,0.00001577119,0.001396447,0.00007091949,0.00004177021,0.001780975,0.0002649025],"genre_scores_gemma":[0.9797125,0.000153214,0.01985269,0.000003970038,0.0001184423,0.00001416763,0.00002053068,0.00006486776,0.00005961096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6812586,"threshold_uncertainty_score":0.9353419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016941278534187,"score_gpt":0.1952055926846119,"score_spread":0.1782643141504248,"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."}}