{"id":"W4408685237","doi":"10.3389/fmats.2025.1504965","title":"Thermal performance customization of polyimide films by nanocomposite engineering with Al2O3 and ZnO nanoparticles","year":2025,"lang":"en","type":"article","venue":"Frontiers in Materials","topic":"Synthesis and properties of polymers","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polyimide; Nanocomposite; Materials science; Nanoparticle; Personalization; Nanotechnology; Thermal; Composite material; Computer science; Layer (electronics)","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":[0.000270472,0.0001163701,0.0002562587,0.00008607851,0.00004499422,0.00005526713,0.0001307267,0.0000476904,0.00009484265],"category_scores_gemma":[0.00001826951,0.00008976669,0.00001065363,0.00009137568,0.0000859181,0.0001974134,0.00004315067,0.00002208896,0.000002200973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655816,"about_ca_system_score_gemma":0.00001933234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009511774,"about_ca_topic_score_gemma":0.000001051955,"domain_scores_codex":[0.9992329,0.00005176046,0.0002563893,0.0001695204,0.00009485645,0.0001945135],"domain_scores_gemma":[0.9997256,0.00002066294,0.00007920642,0.0001328017,0.00001660142,0.00002506893],"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":[0.0002206954,0.00001533707,0.006173161,0.0001069435,0.00001004282,4.780669e-7,0.0001647965,0.0005248456,0.9905581,0.00000853762,0.00103879,0.001178234],"study_design_scores_gemma":[0.0003360181,0.00003961902,0.004071516,0.0001828515,0.00001391721,6.305614e-7,0.00009072109,0.0006249045,0.9942724,0.000002139371,0.0002578343,0.0001074826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997981,0.0009399109,0.0002163943,0.00006811507,0.000491023,0.0001488917,0.00002210454,0.00002625977,0.0001063143],"genre_scores_gemma":[0.9926416,0.00006823063,0.007070712,0.00004409556,0.00001145908,0.00002387582,0.000003640029,0.00001153456,0.0001248016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006854318,"threshold_uncertainty_score":0.366058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002669079830040175,"score_gpt":0.1685441268723133,"score_spread":0.1658750470422731,"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."}}