{"id":"W3092534923","doi":"10.1016/j.mechmat.2020.103604","title":"Analytical expressions to estimate the effective piezoelectric tensor of a textured polycrystal for any crystal symmetry","year":2020,"lang":"en","type":"article","venue":"Mechanics of Materials","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía; Universidad Nacional de Mar del Plata; CRC Health Group","keywords":"Piezoelectricity; Materials science; Texture (cosmology); Tensor (intrinsic definition); Gaussian; Symmetry (geometry); Homogeneous space; Crystallite; Crystal (programming language); Mathematical analysis; Work (physics); Distribution (mathematics); Condensed matter physics; Statistical physics; Geometry; Mathematics; Physics; Thermodynamics; Composite material; Quantum mechanics; Computer science","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":[0.0004886707,0.0001787123,0.0004616049,0.0001100777,0.000051705,0.00002764492,0.0003535195,0.00008836786,0.00008199861],"category_scores_gemma":[0.001025501,0.0001307412,0.0000834318,0.000361351,0.00002249847,0.00004576451,0.0001666871,0.00009666784,0.000007501948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004637828,"about_ca_system_score_gemma":0.00003103371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006435147,"about_ca_topic_score_gemma":4.854435e-7,"domain_scores_codex":[0.9986222,0.00007180501,0.0003958498,0.0002058571,0.0002927328,0.0004115523],"domain_scores_gemma":[0.9989893,0.0004010776,0.00006837688,0.0002557259,0.0001261979,0.0001593265],"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":[0.0002433833,0.00002796891,0.000001429608,0.0004039923,0.0001025765,0.000001868556,0.0002386041,0.003619911,0.9907282,0.003379034,0.0008468312,0.0004061776],"study_design_scores_gemma":[0.0005269436,0.0005503242,0.0000494827,0.00006285205,0.00008415145,0.000003117104,0.0001229741,0.1714939,0.8250462,0.001791536,0.00009656537,0.0001719283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731391,0.00008708198,0.4237149,0.0003565466,0.0001954509,0.001629536,0.0006886558,0.00009896256,0.00008979959],"genre_scores_gemma":[0.9959407,0.000003514788,0.00367566,0.00004224831,0.0001143287,0.000145648,0.00001078675,0.00005381904,0.00001332573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228016,"threshold_uncertainty_score":0.5331473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634046408729672,"score_gpt":0.2896778889016967,"score_spread":0.2733374248144,"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."}}