{"id":"W4316468110","doi":"10.18280/rcma.320601","title":"Investigation of the Impact of Magnesium Doping on the Structural and Dielectric Properties of the Compound: (Na0.5Bi0.5)1-xMgx[(Ti0.8Zr0.2)0.9(Nb2/3Zn1/3)0.1]O3 (NBMTZNZ)","year":2022,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Inorganic Chemistry and Materials","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnesium; Dielectric; Doping; Materials science; Analytical Chemistry (journal); Mineralogy; Metallurgy; Chemistry; Environmental chemistry; Optoelectronics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001292583,0.0001776887,0.0001795944,0.0001393546,0.0002133891,0.0002909878,0.0001978634,0.000246467,0.001216497],"category_scores_gemma":[0.0004664882,0.0001020486,0.00009405724,0.0001734057,0.0002194402,0.0001863476,0.0001626618,0.0001539333,0.0002078379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008444,"about_ca_system_score_gemma":0.0001994163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051023,"about_ca_topic_score_gemma":0.001811355,"domain_scores_codex":[0.9999002,0.0000120118,0.000005553922,0.00002536741,0.00003552167,0.00002128788],"domain_scores_gemma":[0.9998057,0.00007335635,0.00005104638,0.00001430099,0.00003700223,0.00001866582],"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":[0.000208802,0.00001566838,0.0006483105,0.00006569539,0.000009525895,0.00006219144,0.00003113398,0.0001296333,0.9976091,0.00007454678,0.00003898386,0.001106357],"study_design_scores_gemma":[0.000008482224,0.0002289667,0.003599264,0.000005551289,0.00001913275,0.00007377336,0.00003195951,0.0007308259,0.9944367,0.00001845998,0.0008425266,0.000004364801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983541,0.0005818814,0.0002469296,0.00004112162,0.00001065089,0.000005793182,0.00008670062,0.00001470057,0.0006582987],"genre_scores_gemma":[0.998517,0.0003237269,0.0004489336,0.00001432361,0.000005625977,0.000004526074,0.00006446196,0.0000182283,0.000603209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216497,"threshold_uncertainty_score":0.004069626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920623006190309,"score_gpt":0.2431287782734268,"score_spread":0.1939225482115237,"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."}}