{"id":"W4323307286","doi":"10.1117/12.2657157","title":"Textile-based electronic and fluidic platforms towards wearable diagnostic sensor systems (Conference Presentation)","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wearable computer; Electronics; Wearable technology; Microfluidics; Computer science; Embedded system; Clothing; Textile; Engineering; Nanotechnology; Electrical engineering; Materials science","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":[0.000392658,0.0005822961,0.0002832219,0.000485382,0.0002415596,0.001254887,0.0004309963,0.0006775102,0.006039373],"category_scores_gemma":[0.0003468468,0.0003052226,0.0003477142,0.000314734,0.0004504976,0.001236568,0.000720077,0.00056729,0.002309476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328464,"about_ca_system_score_gemma":0.0001088114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021341,"about_ca_topic_score_gemma":0.0001993786,"domain_scores_codex":[0.9997835,0.00002877174,0.00001301185,0.00005263666,0.00009648265,0.00002562042],"domain_scores_gemma":[0.9998887,0.00002647597,0.00002132624,0.000009342228,0.00003218011,0.00002203277],"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":[0.0001196244,0.0000720974,0.0002425413,0.0006360526,0.00001796448,0.0004317058,0.0001146044,0.001045222,0.9008749,0.007044923,0.005414117,0.08398631],"study_design_scores_gemma":[0.00003517261,0.000920131,0.001589944,0.0002349372,0.00004677971,0.001325221,0.0001350544,0.00870929,0.7586121,0.005207466,0.2231153,0.0000685524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2283127,0.1539728,0.5066589,0.007092691,0.01099081,0.0006334477,0.0007960633,0.004304564,0.08723795],"genre_scores_gemma":[0.6105921,0.07775471,0.1872493,0.002999891,0.002080962,0.000270678,0.0005001124,0.0003326467,0.1182197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006039373,"threshold_uncertainty_score":0.02020377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020328334106345,"score_gpt":0.2332550148632178,"score_spread":0.2130517315221544,"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."}}