{"id":"W4394845700","doi":"10.3390/electronicmat5020004","title":"Solution-Processable and Eco-Friendly Functionalization of Conductive Silver Nanoparticles Inks for Printable Electronics","year":2024,"lang":"en","type":"article","venue":"Electronic Materials","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Ministère des relations internationales et de la Francophonie; Institut national de la recherche scientifique","keywords":"Inkwell; Materials science; Surface modification; Fabrication; Nanotechnology; Conductive ink; Environmentally friendly; Printed electronics; Silver nanoparticle; Electrical conductor; Electronics; Reagent; Nanoparticle; Textile; Chemical engineering; Composite material; Sheet resistance; Chemistry; Organic chemistry","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":[0.0001676627,0.00058788,0.0002498459,0.0003447296,0.0001151724,0.0003983333,0.0002929089,0.0004493617,0.0008974479],"category_scores_gemma":[0.0003852667,0.0001754932,0.0002904282,0.0001953915,0.000218287,0.0003085904,0.0002260905,0.0004131426,0.0004880143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382197,"about_ca_system_score_gemma":0.000119018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159981,"about_ca_topic_score_gemma":0.0002647485,"domain_scores_codex":[0.9997937,0.0000280886,0.00001905139,0.00005017554,0.00007645445,0.00003254064],"domain_scores_gemma":[0.9998654,0.0000351904,0.00003398893,0.00001765156,0.000034357,0.00001347286],"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":[0.00000975053,0.000007074279,0.00001752613,0.00004340781,0.000002174013,0.00004619204,0.000007140059,0.00007474911,0.9980956,0.00007025445,0.00001767158,0.001608463],"study_design_scores_gemma":[0.000001151068,0.00002192448,0.00007170765,0.000001501321,0.000002251509,0.00003307556,0.000002278352,0.0003011778,0.9990558,0.00001353025,0.0004938583,0.00000165634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992344,0.002832183,0.08959173,0.0001449183,0.0002612185,0.0001551891,0.0002801754,0.0006026991,0.00689748],"genre_scores_gemma":[0.9582862,0.001191173,0.03539449,0.00007036309,0.00002556225,0.00006186581,0.0002423034,0.00009683566,0.004631225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008974479,"threshold_uncertainty_score":0.003002226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007613766560502638,"score_gpt":0.2189805538554098,"score_spread":0.2113667872949072,"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."}}