{"id":"W4312095485","doi":"10.1002/adma.202207665","title":"Tuning of Polar Domain Boundaries in Nonpolar Perovskite","year":2022,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Higher Education Discipline Innovation Project; Akademie Věd České Republiky; National Natural Science Foundation of China; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Polar; Materials science; Polarity (international relations); Domain (mathematical analysis); Perovskite (structure); Electric field; Antiferroelectricity; Boundary (topology); Chemical physics; Condensed matter physics; Ferroelectricity; Crystallography; Optoelectronics; Physics; Dielectric","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":[0.000063706,0.0001518205,0.0001264241,0.0001221173,0.0001847849,0.0002814157,0.0001778762,0.0001600901,0.0005916255],"category_scores_gemma":[0.0001811431,0.0001497266,0.00005153109,0.00007755208,0.0002758682,0.0002635341,0.0002083075,0.0002812401,0.000124588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425308,"about_ca_system_score_gemma":0.0001481978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783626,"about_ca_topic_score_gemma":0.0004768842,"domain_scores_codex":[0.9999518,0.000005008573,0.000003668277,0.00001187274,0.00001923534,0.000008408124],"domain_scores_gemma":[0.9998947,0.00003121513,0.00003682425,0.000008572701,0.00001465004,0.00001397943],"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":[0.0000426681,0.00001478459,0.0002199024,0.00004290549,0.000002081122,0.00004592091,0.00003708624,0.0001513206,0.9971035,0.0004581953,0.00003051868,0.001851003],"study_design_scores_gemma":[0.00001857217,0.00004838289,0.00105524,0.000003415203,0.000002409766,0.00007425565,0.00004392333,0.001643052,0.9961014,0.0001661991,0.0008389133,0.000004362295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957883,0.0002377016,0.001606006,0.0000584004,0.00001771324,0.000008102307,0.00002662006,0.00003359979,0.002223624],"genre_scores_gemma":[0.9985286,0.0001670164,0.0008146457,0.00001729652,0.00000447241,0.000009475697,0.0000226291,0.00001139828,0.0004243683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005916255,"threshold_uncertainty_score":0.001979232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00687802622253858,"score_gpt":0.2305896002458845,"score_spread":0.2237115740233459,"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."}}