{"id":"W4413202824","doi":"10.1016/j.jcomc.2025.100637","title":"Recent progress in flame retardancy of graphene and bio-based sustainable flame retardants for polymer composite applications","year":2025,"lang":"en","type":"article","venue":"Composites Part C Open Access","topic":"Flame retardant materials and properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Beef Farmers of Ontario; Ministry of Colleges and Universities; University of Guelph","keywords":"Fire retardant; Materials science; Composite number; Graphene; Composite material; Polymer; Polymer science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008742913,0.0002899423,0.0007377837,0.0002756086,0.0003072764,0.001189769,0.001626807,0.0001007074,0.0001383885],"category_scores_gemma":[0.00003325074,0.000249767,0.0000710501,0.0006619327,0.0004400259,0.0008863723,0.001101557,0.00008634197,0.000008102437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005780565,"about_ca_system_score_gemma":0.0002211369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001970673,"about_ca_topic_score_gemma":0.00005631857,"domain_scores_codex":[0.9976223,0.0001991293,0.000765093,0.0006393426,0.0001973207,0.0005768095],"domain_scores_gemma":[0.998487,0.0001698319,0.0002978514,0.0005983268,0.0003459115,0.0001010666],"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":[0.002690744,0.0007303861,0.1310118,0.003486649,0.0001035824,0.00001405369,0.0002313834,0.0001829413,0.8320391,0.01739818,0.00193081,0.01018043],"study_design_scores_gemma":[0.001601481,0.0001262887,0.007339951,0.0005728651,0.00007909673,0.000002150608,0.00004953695,0.0006693304,0.9580406,0.001893022,0.02926231,0.0003633688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717882,0.01872949,0.0009655861,0.001976969,0.0003195856,0.004403698,0.0001687075,0.00007570125,0.001572008],"genre_scores_gemma":[0.9929894,0.0007120882,0.003273373,0.0003079336,0.00004477579,0.001705555,0.0001354845,0.00003479825,0.0007965565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260015,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287038372494466,"score_gpt":0.3438617310980973,"score_spread":0.3109913473731526,"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."}}