{"id":"W4409793623","doi":"10.61091/jcmcc127a-245","title":"Study on the properties of thermoplastic nonwoven interlayer toughened GF/EVE composites, i.e. toughening mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toughening; Composite material; Materials science; Thermoplastic composites; Thermoplastic; Mechanism (biology); Toughness","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437423,0.0002479316,0.0001509961,0.0003078206,0.0001640166,0.0001465499,0.0001114584,0.000240762,0.001194935],"category_scores_gemma":[0.0002276269,0.0001278402,0.0002472178,0.0002077452,0.0001486024,0.0003671567,0.00008207508,0.0003368979,0.0001530538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041039,"about_ca_system_score_gemma":0.00008781144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004791892,"about_ca_topic_score_gemma":0.0006594738,"domain_scores_codex":[0.9999001,0.000005803587,0.000005238376,0.00002007726,0.00004735885,0.00002142385],"domain_scores_gemma":[0.9998311,0.00004193248,0.00004953139,0.00001236426,0.0000467003,0.00001823416],"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":[0.00003014668,0.000008368293,0.0003519494,0.00005651328,0.000003324394,0.00006131633,0.00002724902,0.0001472432,0.9974137,0.00005333075,0.00001629267,0.001830537],"study_design_scores_gemma":[0.00000292176,0.0001924681,0.009518608,0.000005758016,0.00001470441,0.0002888005,0.00004670119,0.001484705,0.9873831,0.0000306856,0.001023595,0.000007995387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958936,0.0008111306,0.002249767,0.00001741052,0.00001165565,0.000009866907,0.00006567618,0.00002275243,0.0009181957],"genre_scores_gemma":[0.9968753,0.0004153844,0.001321578,0.00001393238,0.00000587439,0.000009372115,0.00009082244,0.00001473338,0.001253027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001194935,"threshold_uncertainty_score":0.003997445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017373871657487,"score_gpt":0.2709815117914032,"score_spread":0.2408077730748284,"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."}}