{"id":"W2607509470","doi":"10.1002/pc.24380","title":"Influence of carbon nanofiber functionalization and compatibilizer on the physical properties of carbon nanofiber reinforced polypropylene nanocomposites","year":2017,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Materials science; Surface modification; Polypropylene; Carbon nanofiber; Nanocomposite; Composite material; Dynamic mechanical analysis; Flexural modulus; Thermal stability; Flexural strength; Maleic anhydride; Nanofiber; Polymer; Chemical engineering; Copolymer; Carbon nanotube","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":[0.0003018188,0.0004090361,0.0006444018,0.0001504889,0.0004549692,0.0001678577,0.000817759,0.0001125376,0.00002328153],"category_scores_gemma":[0.000136231,0.0002805347,0.0001377923,0.0001615605,0.001360763,0.0002783702,0.0005034228,0.0001412489,0.000006822529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004633957,"about_ca_system_score_gemma":0.00007574358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714855,"about_ca_topic_score_gemma":0.00002134016,"domain_scores_codex":[0.9974611,0.0002057034,0.0006536658,0.0005444761,0.0007540225,0.0003809786],"domain_scores_gemma":[0.9970094,0.0004849406,0.0007634957,0.001320175,0.0003245605,0.0000974315],"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":[0.0003671288,0.0001182222,0.01537558,0.0001272764,0.00005460927,0.000001317787,0.000808237,0.0008693171,0.9784011,0.003812729,0.00001314624,0.00005130581],"study_design_scores_gemma":[0.0005416253,0.0002838583,0.01198508,0.0004700496,0.0000981721,0.00001172013,0.00003254971,0.005303566,0.980808,0.0001326735,0.00001113613,0.0003216265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958616,0.00116604,0.000003752957,0.0004375644,0.0002629387,0.0005518374,0.00002337512,0.00006972481,0.001623136],"genre_scores_gemma":[0.9991664,0.00001825122,0.0001230155,0.0001170324,0.0001231332,0.00005190942,0.000005957664,0.00004472148,0.0003495957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004434249,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681347079758024,"score_gpt":0.2370778472800517,"score_spread":0.2202643764824715,"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."}}