{"id":"W2892090351","doi":"10.1107/s1600576718011317","title":"Probing the intrinsic and extrinsic origins of piezoelectricity in lead zirconate titanate single crystals","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Crystallography","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Bundesministerium für Bildung und Forschung; Office of Naval Research Global; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Lead zirconate titanate; Piezoelectricity; Synchrotron; Diffraction; Materials science; Lattice (music); Condensed matter physics; Domain (mathematical analysis); Ferroelectricity; Dielectric; Physics; Optics; Acoustics; Optoelectronics; Mathematics","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":[0.001914518,0.0002593448,0.0006581956,0.0007437216,0.0001433502,0.000105522,0.0004973084,0.0001300074,0.0001172039],"category_scores_gemma":[0.0000879429,0.0001769815,0.0001314677,0.0015321,0.0004681407,0.0002253323,0.00008021518,0.0002922812,0.000003812219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229183,"about_ca_system_score_gemma":0.0001530182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000698016,"about_ca_topic_score_gemma":0.0000442462,"domain_scores_codex":[0.9974808,0.0001423467,0.001088448,0.0002867314,0.0004815398,0.0005202005],"domain_scores_gemma":[0.998059,0.0002684427,0.001012193,0.000266098,0.0002938629,0.00010038],"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":[0.0005475815,0.0001467185,0.0002366357,0.00005571328,0.00004267431,0.00001447908,0.0006862701,0.00001091806,0.9794064,0.006604177,0.0002050565,0.01204336],"study_design_scores_gemma":[0.002989098,0.002758037,0.00370922,0.0001804978,0.0001756511,0.000288515,0.0005227047,0.00013126,0.9509196,0.02683378,0.01085869,0.0006329103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937497,0.0006745978,0.001848845,0.0001311891,0.0002625649,0.0003723084,0.000006123199,0.00002282984,0.002931842],"genre_scores_gemma":[0.9982492,0.0001923373,0.00113621,0.0001379574,0.0002384892,0.000009246662,7.098708e-7,0.00002391542,0.00001193289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02848678,"threshold_uncertainty_score":0.7217097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305141629937524,"score_gpt":0.2231553534725271,"score_spread":0.2101039371731518,"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."}}