{"id":"W7028322770","doi":"","title":"From Environmental Monitoring to Breath Analysis: Leveraging Sensor arrays for Healthcare – Lessons from the PATHACOV project –","year":2024,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Environmental monitoring; Health care; Remote patient monitoring; Wireless sensor network; Key (lock)","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":[0.006229042,0.0009348383,0.0008674358,0.001534884,0.0005622178,0.005500359,0.002276755,0.004076122,0.005936835],"category_scores_gemma":[0.005919882,0.0004871631,0.0006415637,0.002131085,0.00237112,0.005845572,0.004311348,0.002611325,0.003308904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139937,"about_ca_system_score_gemma":0.002703775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083157,"about_ca_topic_score_gemma":0.003616606,"domain_scores_codex":[0.9973142,0.0007514202,0.0001123817,0.0003332922,0.001302651,0.0001860405],"domain_scores_gemma":[0.9954574,0.002261462,0.0001313621,0.0004904649,0.001353396,0.0003059001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002761314,0.0001593085,0.001869931,0.001340659,0.00009025194,0.0003831976,0.00067432,0.003928906,0.01319545,0.05221326,0.09544607,0.8304225],"study_design_scores_gemma":[0.00004648884,0.0002510372,0.001552107,0.001064706,0.0000509166,0.0007375833,0.0009961483,0.005192728,0.03152441,0.09171762,0.8667653,0.0001010257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02932298,0.3239514,0.3266108,0.1895002,0.008147861,0.0002484675,0.002473653,0.00698655,0.1127581],"genre_scores_gemma":[0.2079726,0.3062066,0.3668098,0.03258739,0.003425824,0.0002845353,0.003583412,0.002888286,0.07624168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006229042,"threshold_uncertainty_score":0.03294271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631155052292465,"score_gpt":0.2580535482666022,"score_spread":0.2317419977436775,"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."}}