{"id":"W4386851120","doi":"10.1016/j.compstruc.2023.107176","title":"Flexoelectric enhancement in lead-free piezocomposites with graded inclusion concentrations and porous matrices","year":2023,"lang":"en","type":"article","venue":"Computers & Structures","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Consejería de Transformación Económica, Industria, Conocimiento y Universidades","keywords":"Flexoelectricity; Piezoelectricity; Materials science; Anisotropy; Composite material; Porosity; Composite number; Coupling (piping); Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108251,0.0002615337,0.0001238397,0.0001295865,0.00009891192,0.000318646,0.0001548274,0.0001806803,0.0007650622],"category_scores_gemma":[0.0001769747,0.0001374141,0.00008908365,0.000122516,0.0002082082,0.0002909917,0.0002282103,0.0001533362,0.0001162199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367334,"about_ca_system_score_gemma":0.00009232969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002322788,"about_ca_topic_score_gemma":0.0008740874,"domain_scores_codex":[0.9999216,0.00001195054,0.000003451886,0.00001589728,0.00002676984,0.00002035373],"domain_scores_gemma":[0.9998733,0.0000461268,0.00003409129,0.000008599834,0.00002018976,0.00001768564],"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":[0.00004881311,0.0000121501,0.00005687337,0.00002611041,0.000002123295,0.00003198923,0.0000192241,0.0003449135,0.9983217,0.0003499707,0.00002192126,0.000764184],"study_design_scores_gemma":[0.000004828701,0.00004587889,0.0004478206,0.000003346409,0.000005689687,0.00003097628,0.00001585,0.003683438,0.9953696,0.00007641507,0.0003119045,0.000004245781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935411,0.0002899245,0.004103108,0.00003091749,0.0000155755,0.000004226152,0.00002215463,0.0000509271,0.001941946],"genre_scores_gemma":[0.9973375,0.0001005112,0.001570125,0.000008475119,0.000003158319,0.000004311245,0.00001138536,0.000007589755,0.0009568801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007650622,"threshold_uncertainty_score":0.002559364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007167105117586058,"score_gpt":0.2248508336553508,"score_spread":0.2176837285377648,"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."}}