{"id":"W2067857767","doi":"10.1007/s00216-006-0595-y","title":"Analysis of human breath with micro extraction techniques and continuous monitoring of carbon dioxide concentration","year":2006,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Breath gas analysis; Analyte; Chromatography; Chemistry; Acetone; Calibration; Extraction (chemistry); Sample preparation; Sorbent; Detection limit; Calibration curve; Analytical Chemistry (journal); Adsorption; Mathematics","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":[0.0002686949,0.0004569307,0.000369007,0.0003398258,0.0003023804,0.0003057366,0.0002938711,0.0006315326,0.0005359639],"category_scores_gemma":[0.000446849,0.0002533213,0.0002138623,0.0002827308,0.0003058489,0.000321572,0.0002336956,0.0003734638,0.0003824672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075561,"about_ca_system_score_gemma":0.0003701097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103408,"about_ca_topic_score_gemma":0.002356573,"domain_scores_codex":[0.9997019,0.00006516385,0.00001403423,0.00007111603,0.0001173234,0.00003041834],"domain_scores_gemma":[0.9998621,0.00006837695,0.00001364645,0.00001308323,0.0000307551,0.00001206146],"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":[0.000246921,0.00002288604,0.000945263,0.00007380143,0.00001463147,0.0000571624,0.00003957968,0.00004651753,0.9873106,0.00005765987,0.00007410116,0.0111109],"study_design_scores_gemma":[0.00001202517,0.0003728905,0.005282246,0.000009062998,0.000030089,0.000415232,0.00004073508,0.0008982103,0.9910722,0.00009049512,0.001766725,0.000009884549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006231,0.02607848,0.1675319,0.000572703,0.0003599535,0.0002874509,0.001032412,0.00038511,0.003128921],"genre_scores_gemma":[0.8839257,0.007721819,0.1007694,0.0003885213,0.0001154521,0.0002547008,0.0006594647,0.00006385916,0.006100922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00103408,"threshold_uncertainty_score":0.002056122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005530236582154249,"score_gpt":0.2285152611328621,"score_spread":0.2229850245507078,"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."}}