{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124592,0.0002508577,0.0002786144,0.0002532275,0.0004794507,0.0001694388,0.0005086306,0.00007192857,0.00004191696],"category_scores_gemma":[0.00002222983,0.000185449,0.00002757506,0.0006695218,0.0002228992,0.0001577802,0.0007074576,0.0001468334,0.000009337637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004713931,"about_ca_system_score_gemma":0.00004055896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129724,"about_ca_topic_score_gemma":0.0001263598,"domain_scores_codex":[0.9983455,0.00007556118,0.0002929549,0.0004551412,0.0003577112,0.00047314],"domain_scores_gemma":[0.9993016,0.0001880656,0.0001145707,0.0002604218,0.00004342409,0.00009188277],"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":[0.0001438517,0.0000449271,0.006367399,0.0001146573,0.00002383532,0.00008804539,0.002819297,0.003099869,0.9719161,0.004036471,0.002434534,0.008910959],"study_design_scores_gemma":[0.003324856,0.0009595553,0.1292282,0.0002536333,0.0000776848,0.0001886526,0.0002819443,0.006812033,0.7881571,0.06867569,0.0009556477,0.001084983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955786,0.0006650595,0.002413381,0.0003799581,0.0003994994,0.0003319111,0.00002775438,0.0001565505,0.0000472567],"genre_scores_gemma":[0.9927198,0.00008449287,0.006740787,0.000253636,0.00009972133,0.0000139811,0.00003707274,0.00001508229,0.00003545758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183759,"threshold_uncertainty_score":0.7562391,"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."}}