{"id":"W4394723391","doi":"10.3389/fnano.2024.1337571","title":"Layer-by-layer structured nanocomposite deposits from plasma-synthesized organosilicon nanoparticles and organosilicon nanoparticles decorated with Ag nanoparticles by taking advantage of cyclic nanoparticle formation in Ar/HMDSO reactive plasmas","year":2024,"lang":"en","type":"article","venue":"Frontiers in Nanotechnology","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Research Council; Agence Nationale de la Recherche","keywords":"Organosilicon; Hexamethyldisiloxane; Nanoparticle; Materials science; Nanocomposite; Plasma polymerization; Chemical engineering; Layer (electronics); Silicon; Plasma activation; Nanotechnology; Plasma; Polymer chemistry; Polymerization; Composite material; Polymer; Optoelectronics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005190096,0.0005494662,0.0009643877,0.0006201398,0.0001673115,0.0002864712,0.0005590254,0.000515748,0.00006455612],"category_scores_gemma":[0.0002427333,0.0004828874,0.0000596591,0.00133258,0.0006739519,0.001026248,0.0002411315,0.0003914149,0.0000234999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974697,"about_ca_system_score_gemma":0.0001401507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000756843,"about_ca_topic_score_gemma":0.001044873,"domain_scores_codex":[0.9957173,0.0004528213,0.001104625,0.001082095,0.0005260796,0.001117011],"domain_scores_gemma":[0.998433,0.0003703947,0.0003863406,0.0005422538,0.00009861551,0.0001693782],"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":[0.001320665,0.0002592525,0.01577192,0.0001485454,0.00005274711,0.0001390551,0.0008271267,0.00008368814,0.9751699,0.00009858466,0.0003239468,0.005804571],"study_design_scores_gemma":[0.00253446,0.0004324648,0.000987209,0.000437315,0.00007268564,0.00004064929,0.0009661096,0.003619484,0.9893895,0.0008315206,0.0001466653,0.0005419716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942945,0.003094764,0.0002157878,0.0004430749,0.0004385894,0.0008881227,0.0002496809,0.0003612041,0.00001429626],"genre_scores_gemma":[0.9971015,0.0002241932,0.002218224,0.0000644295,0.00001933132,0.0002157831,0.00004812459,0.0000937306,0.00001464092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478471,"threshold_uncertainty_score":0.9997623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008030754664933257,"score_gpt":0.2332327726546553,"score_spread":0.225202017989722,"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."}}