{"id":"W3139510432","doi":"10.21203/rs.3.rs-339953/v1","title":"Multifunctional Poly(Vinylidene Fluoride) and Styrene Butadiene Rubber Blend Magneto-responsive Nanocomposites Based on Hybrid Graphene Oxide and Fe3O4: Synthesis, Preparation and Characterization","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Moroccan Foundation for Advanced Science, Innovation and Research; Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres; Centre National pour la Recherche Scientifique et Technique","keywords":"Materials science; Nanocomposite; Graphene; Composite material; Superparamagnetism; Natural rubber; Oxide; Polymer; Hybrid material; Dielectric; Nanotechnology; Magnetization","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":[0.0001528456,0.0004143679,0.0001977606,0.0002611965,0.000102544,0.0001689272,0.0001739416,0.0003309872,0.0005551219],"category_scores_gemma":[0.0001110389,0.0001939008,0.000232107,0.0001448761,0.0001239862,0.0002204153,0.0001417345,0.0002437389,0.0001909644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373188,"about_ca_system_score_gemma":0.00008647869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212334,"about_ca_topic_score_gemma":0.001260583,"domain_scores_codex":[0.9998842,0.00001326194,0.000008391262,0.00002653394,0.00004009773,0.00002755041],"domain_scores_gemma":[0.9999143,0.00001379643,0.00003176119,0.000004746104,0.00001520327,0.00002018895],"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":[0.00001259699,0.000004380256,0.00002204398,0.0000110965,0.000001323111,0.00001133788,0.000002426556,0.0000336597,0.9997057,0.000007016143,0.000002518261,0.0001858302],"study_design_scores_gemma":[0.000004186807,0.0001060317,0.001014874,0.000002005016,0.000008144069,0.0000507197,0.000006138709,0.0007767244,0.9976732,0.000007067288,0.0003471921,0.000003760467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946676,0.0005365762,0.003891476,0.00002321841,0.00001578602,0.00001756505,0.0000755408,0.0000738752,0.0006983538],"genre_scores_gemma":[0.9937381,0.0002433918,0.00474219,0.00001824346,0.000006912481,0.00002331621,0.00008806279,0.0000165328,0.001123375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005551219,"threshold_uncertainty_score":0.001857102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220250067876134,"score_gpt":0.3054708793051903,"score_spread":0.283268378626429,"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."}}