{"id":"W2082336776","doi":"10.1080/00150190802363140","title":"Impedance Spectroscopic Studies on Lead Based Perovskite Materials","year":2008,"lang":"en","type":"article","venue":"Ferroelectrics","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Perovskite (structure); Materials science; Relaxation (psychology); Conductivity; Electrical impedance; Debye; Frequency dependence; Ferroelectricity; Condensed matter physics; Thermal conduction; Debye model; Low frequency; Ceramic; Dielectric spectroscopy; Thermodynamics; Analytical Chemistry (journal); Nuclear magnetic resonance; Dielectric; Physics; Crystallography; Composite material; Optoelectronics; Chemistry; Electrochemistry","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":[0.0001434605,0.000154121,0.0001794532,0.0002163917,0.0001684356,0.0002324864,0.0001837387,0.0001532692,0.001182662],"category_scores_gemma":[0.0004249346,0.00009809921,0.00008408115,0.0003485273,0.0001514429,0.0003487738,0.00017093,0.000223302,0.0002217272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307668,"about_ca_system_score_gemma":0.00006653157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003699682,"about_ca_topic_score_gemma":0.0003673611,"domain_scores_codex":[0.999889,0.00001606707,0.00000573974,0.00001876358,0.0000548775,0.00001557886],"domain_scores_gemma":[0.9998668,0.00005151361,0.00003028736,0.000007656435,0.00003386958,0.000009803586],"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":[0.0001085019,0.00001060376,0.0002671579,0.00007495171,0.00000353642,0.00008531052,0.00009281588,0.0001631628,0.997014,0.0001496667,0.00003990225,0.001990368],"study_design_scores_gemma":[0.00001197262,0.0001416686,0.001899104,0.000006022105,0.00001005074,0.0001580653,0.0001106556,0.001560424,0.9947337,0.00008846954,0.001274761,0.000005196387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994477,0.0006509001,0.003315813,0.00007335148,0.00001395805,0.000009277038,0.0001665457,0.00004221088,0.001250941],"genre_scores_gemma":[0.9965249,0.000401165,0.001357314,0.00001131625,0.000004051481,0.000008258828,0.0001402037,0.000007732273,0.001545079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182662,"threshold_uncertainty_score":0.003956437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330443315060272,"score_gpt":0.2941911440730054,"score_spread":0.2408867109224027,"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."}}