{"id":"W4412369164","doi":"10.3390/s25134240","title":"Screen Printing Conductive Inks on Textiles: Impact of Plasma Treatment","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Textile; Printed electronics; Electronics; Screen printing; Flexibility (engineering); Materials science; Inkwell; Flexible electronics; Wearable technology; Electrically conductive; Polyester; Substrate (aquarium); Wearable computer; Nanotechnology; Personalization; Electronic component; Computer science; Mechanical engineering; Embedded system; Electrical engineering; Composite material; Engineering; World Wide Web","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":[0.0002585021,0.0003166509,0.000252,0.0002324035,0.0002490662,0.0007224373,0.0001961394,0.0004704408,0.001222344],"category_scores_gemma":[0.0008750862,0.0001847072,0.0002770973,0.0002570658,0.0003340429,0.0005299703,0.0002441641,0.000490249,0.0003546922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549778,"about_ca_system_score_gemma":0.00009363671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003562596,"about_ca_topic_score_gemma":0.000519788,"domain_scores_codex":[0.9996428,0.00004674599,0.00002440174,0.00007178258,0.0001595112,0.00005466922],"domain_scores_gemma":[0.9994061,0.0003221301,0.00008619765,0.00007128101,0.00009708233,0.00001718416],"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":[0.00009751787,0.00002422671,0.0002371901,0.0001833454,0.000009639714,0.0002292303,0.00009303428,0.0003226013,0.9924401,0.0001218793,0.00009724715,0.006144032],"study_design_scores_gemma":[0.000003266642,0.0001152677,0.001123166,0.000007502562,0.000009924704,0.000115292,0.00005361556,0.0008530702,0.9968278,0.00004338393,0.0008419513,0.000005733005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801758,0.00351051,0.009094241,0.0002082543,0.0001603206,0.00004673715,0.0001258689,0.0001817659,0.006496474],"genre_scores_gemma":[0.9916418,0.001457447,0.004487533,0.0000826628,0.00001584142,0.00001973419,0.00006108208,0.00005864142,0.002175389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001222344,"threshold_uncertainty_score":0.004089117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705725508975974,"score_gpt":0.2763697738858216,"score_spread":0.2593125187960618,"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."}}