{"id":"W3043791673","doi":"10.1039/d0ra03493b","title":"Enhanced permittivity of negative permittivity middle-layer sandwich polymer matrix composites through conductive filling with flake MAX phase ceramics","year":2020,"lang":"en","type":"article","venue":"RSC Advances","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Shaanxi University of Science and Technology; China Scholarship Council; China Postdoctoral Science Foundation; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Materials science; Composite material; Permittivity; Dissipation factor; Composite number; Sintering; Ceramic; Relative permittivity; Capacitor; Polymer; Phase (matter); Dielectric; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005928198,0.0003166486,0.0005576947,0.00003636246,0.00009014477,0.00003736588,0.0001605732,0.00007518721,0.0001667609],"category_scores_gemma":[0.00004636575,0.0002619704,0.00007955518,0.0003224168,0.0001281261,0.0006614944,0.00003316375,0.0001868309,0.00001068295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003460305,"about_ca_system_score_gemma":0.00003102342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002372774,"about_ca_topic_score_gemma":0.00001267821,"domain_scores_codex":[0.9987406,0.0000484375,0.0003149199,0.0003344488,0.0002246329,0.0003369935],"domain_scores_gemma":[0.99931,0.0002031576,0.0001460378,0.0001577306,0.00008799292,0.00009512777],"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":[0.0005620113,0.0002132271,0.0002082372,0.0006266753,0.0002950005,0.00001995822,0.007194821,0.0109931,0.9689887,0.0007493004,0.00005835811,0.01009065],"study_design_scores_gemma":[0.00124253,0.0003217985,0.00008268887,0.00008545294,0.00005689125,0.000003878874,0.0006387667,0.00844008,0.9878876,0.0001613171,0.0007115622,0.0003674187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593547,0.002193847,0.03536646,0.00007140778,0.0001940501,0.000286998,0.0001792697,0.0001884417,0.002164845],"genre_scores_gemma":[0.9956068,0.0003382543,0.003705739,0.00006691835,0.0001434215,0.0000210512,0.00002016574,0.00004607649,0.00005156015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03625213,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152717516728833,"score_gpt":0.2630600208277128,"score_spread":0.2415328456604245,"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."}}