{"id":"W4322576524","doi":"10.1016/b978-0-323-91593-9.00002-x","title":"Progress in physiological textile sensors for biomedical applications","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Textile; Nanotechnology; Materials science; Engineering; Biomedical engineering; 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":[0.0006545775,0.001041214,0.0006717815,0.001031133,0.0002314601,0.001564655,0.0007743897,0.0009261947,0.01540397],"category_scores_gemma":[0.0004672657,0.0004021445,0.000373074,0.001362315,0.0006018425,0.002261662,0.000949887,0.001469112,0.01027435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187657,"about_ca_system_score_gemma":0.0004373338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117569,"about_ca_topic_score_gemma":0.0003539582,"domain_scores_codex":[0.9997467,0.00002962525,0.00001768988,0.0000582929,0.0001266629,0.00002105266],"domain_scores_gemma":[0.9997312,0.0001560692,0.00001494634,0.00002293295,0.00005528574,0.00001950172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006235744,0.0001189256,0.0001306958,0.003019407,0.00001508257,0.0001597765,0.000149369,0.0005783588,0.1631281,0.01796219,0.02626015,0.7884156],"study_design_scores_gemma":[0.000007466199,0.0002067204,0.00101222,0.0005415457,0.00002861915,0.001188727,0.00009808319,0.001423248,0.0782962,0.01163513,0.9055293,0.00003265216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01051925,0.654263,0.1088472,0.00322532,0.005391956,0.00009347808,0.0004300312,0.001069176,0.2161606],"genre_scores_gemma":[0.03346818,0.5730158,0.04820002,0.002762128,0.002825987,0.0001153436,0.0007218306,0.0005103499,0.3383802],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01540397,"threshold_uncertainty_score":0.05153137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590764363888688,"score_gpt":0.2613959808255925,"score_spread":0.2354883371867056,"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."}}