{"id":"W4405811116","doi":"10.3390/polym17010033","title":"Performance Restoration of Chemically Recycled Carbon Fibres Through Surface Modification with Sizing","year":2024,"lang":"en","type":"article","venue":"Polymers","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"HORIZON EUROPE Framework Programme; National Technical University of Athens; National and Kapodistrian University of Athens; European Commission","keywords":"Sizing; Materials science; Thermogravimetric analysis; Polymer; Composite material; Surface modification; Scanning electron microscope; Ultimate tensile strength; X-ray photoelectron spectroscopy; Solvolysis; Carbon fibers; Chemical engineering; Chemistry; Organic chemistry; 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":[0.00003939326,0.0001375313,0.000132613,0.00005375234,0.00002456911,0.00002813557,0.0001020002,0.00006254789,0.00001140418],"category_scores_gemma":[0.000003510324,0.000130193,0.0000295251,0.0002986783,0.00004578063,0.0002735822,0.00001234422,0.00009703619,0.000005849051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006194537,"about_ca_system_score_gemma":0.00002744067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001656813,"about_ca_topic_score_gemma":0.00000446673,"domain_scores_codex":[0.9992993,0.000009265013,0.0002011603,0.0001448609,0.0001707979,0.0001745449],"domain_scores_gemma":[0.9996536,0.00005494282,0.00002972306,0.0002092537,0.00002026155,0.0000321672],"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":[0.0000324763,0.000003535982,0.0003349914,0.0002706143,0.00005808404,0.000001151388,0.001210783,0.05005044,0.9438065,0.0003127242,0.0001032793,0.003815394],"study_design_scores_gemma":[0.00008264726,0.00003397033,0.0001410617,0.0001469132,0.00002231937,0.00000361736,0.00003166758,0.2830053,0.716097,0.00001107088,0.0002945345,0.0001299251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766898,0.004761207,0.001108482,0.00009941196,0.000180113,0.00008458533,0.000005776856,0.0004202843,0.01665037],"genre_scores_gemma":[0.9981247,0.0001097519,0.001376376,0.000009044274,0.00004253985,0.000007940697,0.00002818296,0.00004207451,0.0002594462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329548,"threshold_uncertainty_score":0.5309116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053761663217008,"score_gpt":0.2128250418166346,"score_spread":0.2022874251844645,"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."}}