{"id":"W2973589817","doi":"10.1007/s42452-019-1096-x","title":"Effect of precursors on the structural, magnetic, dielectric, microwave and electromagnetic properties of Co–Zr doped nanocrystalline strontium hexaferrites synthesized via sol–gel method","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"University Grants Commission","keywords":"Materials science; Nanocrystalline material; Dielectric; Sol-gel; Analytical Chemistry (journal); Ferrite (magnet); Ethylene glycol; Strontium; Microwave; Dopant; Doping; Chemical engineering; Composite material; Nanotechnology; Chemistry; Organic chemistry; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002657963,0.0003830722,0.0007684387,0.0001594919,0.0002832429,0.0001482922,0.000950921,0.0001017059,0.000805194],"category_scores_gemma":[0.0002766548,0.0001993284,0.0001051739,0.000281351,0.001189736,0.0001230281,0.0001479884,0.0001557477,0.000021531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001977364,"about_ca_system_score_gemma":0.00009314375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001619687,"about_ca_topic_score_gemma":0.00002177147,"domain_scores_codex":[0.9968085,0.0005362739,0.0006027673,0.0006863588,0.0007432909,0.0006227953],"domain_scores_gemma":[0.9976938,0.001304583,0.0003543538,0.0004822881,0.00007942641,0.00008557597],"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":[0.0006062468,0.00003441279,0.00006963567,0.0002397806,0.00001228855,2.966897e-7,0.0003613704,0.00003250163,0.9899563,0.001213825,0.00003626797,0.00743708],"study_design_scores_gemma":[0.0004798546,0.003836047,0.0002348628,0.00009952036,0.00005629928,0.000007607875,0.0001857678,0.003498883,0.9907836,0.0004615324,0.00009093761,0.0002650548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882088,0.003129802,0.00006614404,0.0003031877,0.00009748551,0.001373369,0.00001340481,0.00003959355,0.006768174],"genre_scores_gemma":[0.9956599,0.0000857726,0.003702146,0.00005646325,0.00002904988,0.00007896263,0.000001042311,0.000020561,0.0003660473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007451116,"threshold_uncertainty_score":0.881631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015844630351378,"score_gpt":0.2323501105904457,"score_spread":0.2221916642869319,"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."}}