{"id":"W4405843130","doi":"10.18280/rcma.340601","title":"Materials Synthesis and Characterization of Nano-Titanium Carbide-Filled Acrylonitrile Butadiene-Styrene Polymer Composites for Electromagnetic Interference Shielding","year":2024,"lang":"fr","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Materials science; Composite material; Acrylonitrile butadiene styrene; Electromagnetic shielding; Characterization (materials science); Titanium; Electromagnetic interference; Titanium carbide; Polymer; Nano-; Acrylonitrile; Carbide; Nanotechnology; Metallurgy; Copolymer; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002327729,0.0002616647,0.0001853137,0.0004756303,0.0003385635,0.0003045004,0.0002097814,0.0003066398,0.001575785],"category_scores_gemma":[0.0002612797,0.0002510355,0.0002320291,0.0002474385,0.0001783092,0.0002055062,0.0001194193,0.0003257291,0.0004490714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596663,"about_ca_system_score_gemma":0.0003499697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007966225,"about_ca_topic_score_gemma":0.00321649,"domain_scores_codex":[0.9997844,0.00001227353,0.0000136486,0.00004022586,0.000115376,0.0000339852],"domain_scores_gemma":[0.9997352,0.00004874912,0.00006264666,0.00002960627,0.00008804844,0.00003564705],"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":[0.00001910771,0.000009208066,0.000047661,0.00002680857,0.000001360521,0.00001822596,0.00001214115,0.000116949,0.9990409,0.0000375943,0.00001836231,0.000651749],"study_design_scores_gemma":[0.000002355521,0.00006342152,0.0009959572,0.000001664933,0.000003537993,0.00002802408,0.000008200528,0.0005188856,0.9977913,0.000007800828,0.00057629,0.000002527655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811844,0.00110711,0.01279882,0.00007254586,0.00006751817,0.00008917883,0.0004288292,0.0001577079,0.004093993],"genre_scores_gemma":[0.9867359,0.0003836213,0.008535516,0.00002520466,0.000009507447,0.00005869203,0.0003536814,0.00005321076,0.00384467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575785,"threshold_uncertainty_score":0.005271554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367532841359044,"score_gpt":0.2491619255403375,"score_spread":0.2254865971267471,"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."}}