{"id":"W4400359319","doi":"10.59957/jctm.v59.i4.2024.13","title":"COMPOSITE MATERIALS BASED ON NANOSIZED FERRITE FOR MICROWAVE APPLICATIONS","year":2024,"lang":"en","type":"article","venue":"Journal of Chemical Technology and Metallurgy","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Bulgarian National Science Fund","keywords":"Ferrite (magnet); Materials science; Microwave; Composite number; Composite material; Nanotechnology; Computer science; Telecommunications","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":[0.0001515977,0.0003208462,0.0001959269,0.0005188062,0.0001646742,0.0002830477,0.0002608705,0.0004307624,0.001497954],"category_scores_gemma":[0.0001750101,0.0001633033,0.0002397024,0.0001843399,0.0001230933,0.0003663729,0.0001312636,0.0003402679,0.0004775055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258649,"about_ca_system_score_gemma":0.0001264754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186969,"about_ca_topic_score_gemma":0.0005228384,"domain_scores_codex":[0.9999076,0.000009462812,0.000005745093,0.00002315114,0.00003887075,0.00001521065],"domain_scores_gemma":[0.999915,0.00002082411,0.00001970335,0.000006594486,0.0000284716,0.000009379414],"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":[0.00004570758,0.00002263948,0.00005033087,0.0001155723,0.000005806463,0.00004078885,0.000007682366,0.0002563458,0.9951261,0.0002699682,0.00008844605,0.003970617],"study_design_scores_gemma":[0.0000106259,0.0001579158,0.0006508583,0.000007461906,0.00001726764,0.0002133849,0.00001177362,0.001885738,0.9902637,0.0001107247,0.006663371,0.000007212077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841106,0.00908989,0.08624024,0.0004160574,0.0003903334,0.0001822327,0.0004454851,0.00121924,0.01790587],"genre_scores_gemma":[0.9562675,0.001370797,0.03609039,0.00008561793,0.0000389072,0.00006903202,0.0002328405,0.00006411607,0.005780887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001497954,"threshold_uncertainty_score":0.005011141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111372622317177,"score_gpt":0.2433112663823757,"score_spread":0.2321740041506579,"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."}}