{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002061231,0.0004538746,0.0001830124,0.0002785196,0.0001410456,0.0002773489,0.0002117531,0.0004053598,0.000759693],"category_scores_gemma":[0.0003127866,0.0001650642,0.000311122,0.0001542642,0.000274287,0.0004248804,0.0001917305,0.0003874388,0.0002153141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051557,"about_ca_system_score_gemma":0.0001268813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004351777,"about_ca_topic_score_gemma":0.001456767,"domain_scores_codex":[0.9998611,0.00001374777,0.000008224455,0.00002833163,0.00006042312,0.00002808299],"domain_scores_gemma":[0.9998605,0.00003193926,0.00004305844,0.00001584249,0.00003696595,0.00001165766],"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":[0.00002096278,0.000005854982,0.00007491197,0.0000402843,0.000003957272,0.00003085478,0.00001445478,0.0001747889,0.997674,0.00002662292,0.00001072389,0.001922585],"study_design_scores_gemma":[0.000001426136,0.00007054778,0.001034801,0.000003069519,0.000005080346,0.00005363682,0.00001204375,0.0005971958,0.9977701,0.0000103467,0.0004378707,0.000003882571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935561,0.001010688,0.004387997,0.00003188486,0.00002298474,0.00001477389,0.0000628404,0.00008783809,0.0008249709],"genre_scores_gemma":[0.9937673,0.0005129989,0.004321417,0.00002379479,0.000007263939,0.00001542641,0.00007562474,0.00002894654,0.001247385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000759693,"threshold_uncertainty_score":0.002541423,"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."}}