{"id":"W2098567178","doi":"10.1109/58.852059","title":"A pulse-based, parallel-element macromodel for ferroelectric capacitors","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Capacitor; Ferroelectricity; Hysteresis; Voltage; Ferroelectric capacitor; Pulse (music); Electronic engineering; Materials science; Behavioral modeling; Pulse-width modulation; Electrical engineering; Optoelectronics; Engineering; Physics; Condensed matter physics","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":[0.0001867945,0.0005299213,0.0003448967,0.0003195839,0.0003439088,0.0005027779,0.001738291,0.001016587,0.004141686],"category_scores_gemma":[0.0006146319,0.0003482326,0.0003209625,0.0003977371,0.0002282734,0.001086465,0.0002231588,0.0008825072,0.001376084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493839,"about_ca_system_score_gemma":0.0008401425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193475,"about_ca_topic_score_gemma":0.003720957,"domain_scores_codex":[0.9998844,0.00001890328,0.000006170053,0.00002089377,0.00005964992,0.000009990716],"domain_scores_gemma":[0.9998293,0.00005523013,0.00001601792,0.00003740167,0.00005447949,0.000007632665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009066321,0.00008789818,0.000406186,0.0002334767,0.00004205882,0.0001261917,0.00009653433,0.8764725,0.05353371,0.02101513,0.00270374,0.04519197],"study_design_scores_gemma":[0.00001161129,0.00003186202,0.00007429864,0.000006238427,0.00001086189,0.00006231152,0.000005366901,0.9831114,0.009657484,0.00286905,0.004152058,0.000007487905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00951256,0.0001401659,0.9847956,0.000118898,0.00005660119,0.00006629983,0.0003454149,0.001448988,0.003515539],"genre_scores_gemma":[0.5578516,0.0008333584,0.4195835,0.0002093349,0.00007994039,0.0008677134,0.001213392,0.0006079321,0.0187532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004141686,"threshold_uncertainty_score":0.01385534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202635107125503,"score_gpt":0.2251632092137319,"score_spread":0.2131368581424768,"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."}}