{"id":"W4399243602","doi":"10.1016/j.synthmet.2024.117656","title":"Enhancing structural analysis and electromagnetic shielding in carbon foam composites with applications in concrete integrating XGBoost machine learning, carbon nanotubes, and montmorillonite","year":2024,"lang":"en","type":"article","venue":"Synthetic Metals","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"King Khalid University; Prince Sattam bin Abdulaziz University","keywords":"Montmorillonite; Electromagnetic shielding; Composite material; Carbon nanotube; Materials science; Carbon fibers; Composite number","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":[0.0009363336,0.0003069075,0.0006404841,0.0006111424,0.00008258391,0.0003176483,0.0001369738,0.00008939941,0.000105776],"category_scores_gemma":[0.0001185958,0.0002431239,0.00004335531,0.0009312702,0.0001620149,0.0001147373,0.00007850258,0.000258602,0.000001696844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007698715,"about_ca_system_score_gemma":0.0000417489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003220496,"about_ca_topic_score_gemma":0.002687394,"domain_scores_codex":[0.9976606,0.0003915119,0.0005738189,0.0006786706,0.000247773,0.0004476328],"domain_scores_gemma":[0.9990268,0.0004877821,0.0001288685,0.0002340537,0.00003565572,0.00008678621],"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":[0.00001982417,0.000002823148,0.00812475,0.00009951484,0.00004635984,0.00001473957,0.0006504513,0.00009903342,0.9901512,0.0006380629,4.606805e-8,0.0001531953],"study_design_scores_gemma":[0.0003783142,0.0004827008,0.009902868,0.0003262735,0.0005831821,0.0000935334,0.0003168262,0.06441379,0.9221967,0.0007920056,0.00001739556,0.0004963336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929416,0.005837412,0.0002231104,0.00007201573,0.00005134561,0.0004828347,0.000008653335,0.00009270957,0.0002903763],"genre_scores_gemma":[0.9949284,0.00009961539,0.004669708,0.00001037107,0.00002945607,0.00009459151,0.00001784791,0.00003339917,0.0001166701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06795443,"threshold_uncertainty_score":0.9914304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005034161444703126,"score_gpt":0.2261255870869432,"score_spread":0.22109142564224,"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."}}