{"id":"W3091892634","doi":"10.1002/ppap.202000153","title":"Atmospheric‐pressure plasma‐enhanced chemical vapor deposition of nanocomposite thin films from ethyl lactate and silica nanoparticles","year":2020,"lang":"en","type":"article","venue":"Plasma Processes and Polymers","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Fourier transform infrared spectroscopy; Dielectric barrier discharge; Nanocomposite; Materials science; Plasma-enhanced chemical vapor deposition; Analytical Chemistry (journal); Nanoparticle; Surface modification; Plasma polymerization; Scanning electron microscope; Atmospheric-pressure plasma; Atmospheric pressure; Chemical vapor deposition; Dielectric; Chemical engineering; Polymerization; Nanotechnology; Plasma; Chemistry; Polymer; Composite material; Organic chemistry; Optoelectronics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002821109,0.0001849412,0.0003328978,0.00001028035,0.00007682001,0.00003256991,0.00007189483,0.0001202721,0.00006311537],"category_scores_gemma":[0.0001565176,0.0001628814,0.00003409393,0.0002330331,0.000145848,0.0001034699,0.00005639489,0.0001356475,0.000007470103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004578055,"about_ca_system_score_gemma":0.00007744296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030021,"about_ca_topic_score_gemma":0.000009293697,"domain_scores_codex":[0.9989855,0.0000138726,0.0002854222,0.0003445945,0.0001710817,0.0001995737],"domain_scores_gemma":[0.9990252,0.0003594635,0.0001352686,0.0001184146,0.00008051719,0.0002811953],"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":[0.0007144916,0.0001229858,0.001417133,0.0005358121,0.0001092851,0.000009124577,0.001939869,0.00003746582,0.9888629,0.00004744634,0.0002624278,0.005941085],"study_design_scores_gemma":[0.00140315,0.0002305605,0.0006183998,0.0001032308,0.0003386174,0.00002283768,0.0003683602,0.01784708,0.9779866,0.00003504747,0.0008677657,0.0001783609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946387,0.002641634,0.0001344456,0.001686324,0.00002445618,0.0002591022,0.0001550706,0.00006407577,0.0003962082],"genre_scores_gemma":[0.9938318,0.0006945742,0.004758974,0.0004898566,0.00004489809,0.00003773008,0.0000861316,0.00002125605,0.00003484743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01780962,"threshold_uncertainty_score":0.6642109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009438743145311393,"score_gpt":0.2277395606711232,"score_spread":0.2183008175258118,"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."}}