{"id":"W6888937504","doi":"10.2417/spepro.004844","title":"Epoxy/clay nanocomposites : preparation and performance improvement","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance improvement; Nanocomposite; Composite number; Performance enhancement; Carbon nanotube","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":[0.001295381,0.0003064697,0.0004016024,0.0006166815,0.000928445,0.0009407148,0.0004676919,0.0009264236,0.02958051],"category_scores_gemma":[0.003992692,0.0002352183,0.0002302787,0.000383552,0.0002548822,0.0009780704,0.0005223328,0.0006529699,0.01223187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494954,"about_ca_system_score_gemma":0.0007980346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003459161,"about_ca_topic_score_gemma":0.001600195,"domain_scores_codex":[0.9984676,0.0001597035,0.00008152363,0.0001607643,0.001012378,0.0001180086],"domain_scores_gemma":[0.9953017,0.0004691204,0.0003219694,0.0003338547,0.003291307,0.0002819178],"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":[0.0006428021,0.0003376251,0.004394417,0.001425597,0.00004445275,0.0008504005,0.000547836,0.0002856635,0.6548424,0.001673445,0.08081967,0.2541357],"study_design_scores_gemma":[0.0000620834,0.0004094453,0.0130905,0.00009389425,0.00006975299,0.0008004351,0.0004425159,0.001264784,0.7754412,0.0004539237,0.207816,0.00005538757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.689525,0.00920749,0.01788955,0.0159345,0.01282162,0.0009845126,0.001407844,0.002149353,0.2500801],"genre_scores_gemma":[0.6304747,0.004655472,0.01374911,0.0008958496,0.00194779,0.0001564931,0.001356295,0.0007664841,0.3459978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02958051,"threshold_uncertainty_score":0.09895664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008058017190771878,"score_gpt":0.2121303777862846,"score_spread":0.2040723605955128,"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."}}