{"id":"W4410946596","doi":"10.1021/acsomega.4c11420","title":"Deposition of Ag/TMC Nanoparticles via MAPLE to Enhance the Mechanical and Antimicrobial Properties of Silicone Hydrogel","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maple; Silicone; Deposition (geology); Antimicrobial; Materials science; Nanoparticle; Nanotechnology; Chemical engineering; Polymer chemistry; Chemistry; Composite material; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009797554,0.0003371009,0.0001533015,0.0002052361,0.00008154615,0.0001619378,0.0001445113,0.0003153662,0.0006991186],"category_scores_gemma":[0.0001389689,0.0001678844,0.0002197123,0.000114455,0.0001195085,0.0002383423,0.0001591186,0.0002778627,0.0002491665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240004,"about_ca_system_score_gemma":0.0001199896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003915484,"about_ca_topic_score_gemma":0.0009022287,"domain_scores_codex":[0.9999157,0.00000542086,0.00000665046,0.00001927111,0.00003234483,0.00002065206],"domain_scores_gemma":[0.999909,0.00001899379,0.00003233351,0.000008286132,0.00001941183,0.00001195529],"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":[0.000005940497,0.000002122906,0.00001111511,0.00001255081,6.221163e-7,0.00001411853,0.000003320525,0.00002692137,0.999579,0.000007831628,0.00001013416,0.0003263663],"study_design_scores_gemma":[0.000001201407,0.00002087627,0.000229785,0.000001095299,0.000001444831,0.00002171741,0.000002456617,0.0003908834,0.9991326,0.000003587762,0.0001929636,0.00000144002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883909,0.00111012,0.008366416,0.00007350849,0.00003636384,0.00003175194,0.0002032664,0.0001818052,0.001605895],"genre_scores_gemma":[0.9858416,0.0006180099,0.01078304,0.00007032621,0.0000121845,0.00004289213,0.0001269942,0.00004592005,0.002459058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006991186,"threshold_uncertainty_score":0.002338827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005759289235555222,"score_gpt":0.205754041967421,"score_spread":0.1999947527318658,"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."}}