{"id":"W4294975660","doi":"10.1109/embc48229.2022.9870980","title":"A System-on-Board Integrated Multi-analyte PoC Biosensor for Combined Analysis of Saliva and Exhaled Breath","year":2022,"lang":"en","type":"article","venue":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analyte; Breath gas analysis; Saliva; Biosensor; Chromatography; Exhaled air; Biomedical engineering; Materials science; Chemistry; Medicine; Nanotechnology; Internal medicine; Biology","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":[0.0003978251,0.0006792422,0.0005817043,0.0004636965,0.0001639478,0.0005677777,0.001141597,0.001024721,0.001586065],"category_scores_gemma":[0.0005343647,0.0004056488,0.000464196,0.0002773942,0.0001846877,0.0006466558,0.0005365622,0.0005966829,0.0009818466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369995,"about_ca_system_score_gemma":0.0002859511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002798063,"about_ca_topic_score_gemma":0.0004550963,"domain_scores_codex":[0.9992421,0.00009365672,0.00004396771,0.0002174957,0.0003510003,0.0000518215],"domain_scores_gemma":[0.9997455,0.00004362822,0.00004919743,0.00004120938,0.00009211263,0.00002828552],"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":[0.00007569604,0.00004929164,0.0003838877,0.00008758964,0.00002571067,0.000104788,0.00002925149,0.0001948853,0.9840845,0.0001300109,0.0002727815,0.01456159],"study_design_scores_gemma":[0.00002266843,0.0007415873,0.003395858,0.00001293318,0.00005542175,0.0009940562,0.00002829751,0.009235228,0.9780625,0.00007720746,0.007336871,0.00003752352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5400653,0.003037747,0.4407626,0.0007793826,0.0006904124,0.0004993279,0.001330935,0.007683586,0.005150729],"genre_scores_gemma":[0.7258232,0.0008121274,0.2627276,0.000496046,0.000109748,0.0003164983,0.0006279083,0.0001560614,0.008930863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001586065,"threshold_uncertainty_score":0.005305946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110016483801289,"score_gpt":0.2856228051198629,"score_spread":0.2545226402818501,"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."}}