{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002049176,0.0002624572,0.0001341135,0.0003084874,0.0001685375,0.0001390174,0.0001198988,0.0002203646,0.0005790551],"category_scores_gemma":[0.0002784859,0.0001124013,0.0001791379,0.000200491,0.0001176127,0.0001824052,0.0000781998,0.0001433833,0.0001010656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455629,"about_ca_system_score_gemma":0.0001861173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006866287,"about_ca_topic_score_gemma":0.001971038,"domain_scores_codex":[0.9998831,0.000009361689,0.000006341399,0.00001877062,0.00007183255,0.00001055647],"domain_scores_gemma":[0.9997961,0.00006213441,0.00005058704,0.00002259184,0.00005417331,0.00001447012],"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":[0.00001925536,0.00001073322,0.0005766586,0.00003276913,0.000002027593,0.00003399968,0.00002445059,0.002685653,0.9944901,0.00003775594,0.000008651528,0.002077939],"study_design_scores_gemma":[0.000002147229,0.0001590838,0.01218242,0.000005273664,0.00001397441,0.00008745059,0.0000336639,0.02735064,0.9595287,0.00003248349,0.0005965575,0.000007515136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882532,0.0001230547,0.01104143,0.000007945952,0.000006370824,0.00001077269,0.00007185882,0.00004722667,0.0004382047],"genre_scores_gemma":[0.9911471,0.00008846351,0.008193137,0.000003230954,0.000001484261,0.0000105407,0.00007400275,0.00001111903,0.0004709472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006866287,"threshold_uncertainty_score":0.001937151,"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."}}