{"id":"W4400976444","doi":"10.1109/fleps61194.2024.10604036","title":"Electronic textile printing for sensing wearables","year":2024,"lang":"en","type":"article","venue":"","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Textile; Wearable computer; Wearable technology; Computer science; Embedded system; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000454199,0.0005647611,0.0003091375,0.0004994763,0.000243456,0.0008925994,0.0004107144,0.0006239726,0.003881507],"category_scores_gemma":[0.000763236,0.0002373396,0.0003217671,0.0006718545,0.0003675195,0.0006206485,0.0003142333,0.000519213,0.001404492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486937,"about_ca_system_score_gemma":0.00009556161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238658,"about_ca_topic_score_gemma":0.000228796,"domain_scores_codex":[0.9994045,0.00008735634,0.0000397415,0.0001001988,0.0003365625,0.00003151908],"domain_scores_gemma":[0.9996191,0.0001441047,0.00005661749,0.00008599857,0.00008033573,0.00001376849],"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":[0.00006596038,0.00004510306,0.000322669,0.0007685181,0.00001404321,0.0003723331,0.00008535206,0.0009362776,0.9394157,0.002891446,0.001027728,0.05405493],"study_design_scores_gemma":[0.000008976924,0.0002653156,0.001444227,0.00007605059,0.00001930025,0.0008826825,0.00006663628,0.003851177,0.9642512,0.001094252,0.02801865,0.00002156512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3288251,0.07329168,0.4925129,0.002018302,0.002902939,0.0004091734,0.0007862548,0.002370779,0.09688298],"genre_scores_gemma":[0.7858673,0.02152144,0.1676666,0.0005412641,0.0002784951,0.0001214247,0.0003036367,0.0002653746,0.02343443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003881507,"threshold_uncertainty_score":0.01298493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000982142626349,"score_gpt":0.2971745088400647,"score_spread":0.2771646874138012,"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."}}