{"id":"W2801304045","doi":"10.1177/0892705718772878","title":"Characterization of multilayered carbon-fiber–reinforced thermoplastic composites for assembly process","year":2018,"lang":"en","type":"article","venue":"Journal of Thermoplastic Composite Materials","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; École de Technologie Supérieure","funders":"","keywords":"Materials science; Composite material; Hyperelastic material; Finite element method; Characterization (materials science); Composite number; Thermoplastic; Thermoplastic composites; Fiber; Deformation (meteorology); Fiber-reinforced composite; Anisotropy; Structural engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003120607,0.0002901743,0.0007177487,0.000217153,0.00008055296,0.00009960966,0.0003123088,0.0001369665,0.0001238033],"category_scores_gemma":[0.00008918209,0.0002517099,0.0001077458,0.0001209014,0.00007871276,0.0002272289,0.00003775168,0.00008758791,0.000008755155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005068193,"about_ca_system_score_gemma":0.00004531898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000408691,"about_ca_topic_score_gemma":0.000001023601,"domain_scores_codex":[0.9980941,0.00005557118,0.00113316,0.0001406252,0.0002673533,0.0003091411],"domain_scores_gemma":[0.9982545,0.0002885186,0.0006284408,0.0001603831,0.0005655867,0.0001025737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009150141,0.00003404531,0.00001088256,0.0005171295,0.0001753173,0.000002876713,0.0004742211,0.01996899,0.9776678,0.0000312007,0.000005162441,0.0001973674],"study_design_scores_gemma":[0.001113019,0.0005093717,0.000566374,0.00054512,0.0001824966,0.00006060387,0.00001872431,0.04964201,0.9470394,0.00005029688,0.00003074954,0.0002418784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715642,0.00002042739,0.02561674,0.00001215582,0.002154209,0.0003393478,0.00009948968,0.00007011578,0.0001232683],"genre_scores_gemma":[0.9978171,0.00001101592,0.001244644,0.00001373854,0.0007872168,0.00001325749,0.00001525595,0.00007184911,0.00002592271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03062844,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129423239756489,"score_gpt":0.2308686612131848,"score_spread":0.2195744288156199,"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."}}