{"id":"W2562567870","doi":"10.1039/c6ra25142k","title":"Electromagnetic wave absorption of silicon carbide based materials","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; University of Toronto","funders":"China Scholarship Council","keywords":"Silicon carbide; Absorption (acoustics); Materials science; Silicon; Carbide; Engineering physics; Optoelectronics; Metallurgy; Physics; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006109924,0.0002462969,0.0004793964,0.00009091968,0.0002684087,0.0002192392,0.0005472453,0.0001025068,0.004058241],"category_scores_gemma":[0.0003197259,0.0002264186,0.00006968972,0.00005251652,0.0003351145,0.0005652692,0.0000875736,0.00005852981,0.0002267376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929665,"about_ca_system_score_gemma":0.0000811959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167084,"about_ca_topic_score_gemma":0.00004684147,"domain_scores_codex":[0.9979478,0.0001596313,0.0005776595,0.0004495382,0.0003867951,0.0004785515],"domain_scores_gemma":[0.9979292,0.0001004185,0.0007832692,0.0009704381,0.0001303749,0.00008632025],"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":[0.0001062929,0.00004460878,0.00009886066,0.0001015024,0.000003723345,0.000005912612,0.00002576931,0.00001928562,0.9978487,0.0008596285,0.00007728485,0.0008084609],"study_design_scores_gemma":[0.0005916345,0.0005005357,0.01243082,0.00006695923,0.00002868022,0.00001015438,0.0000103213,0.00003707982,0.9823858,0.002897977,0.000798217,0.0002418883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995594,0.0004502429,0.0000835313,0.0002236962,0.0007946919,0.0003276169,0.00006995277,0.00009511986,0.002361193],"genre_scores_gemma":[0.9956296,0.0001053955,0.003348162,0.00007552833,0.000219106,0.00005169296,0.00001801201,0.00003223545,0.0005202558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546293,"threshold_uncertainty_score":0.9968522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705887684574618,"score_gpt":0.2672948850911845,"score_spread":0.2502360082454383,"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."}}