{"id":"W2073009608","doi":"10.1021/ac025863k","title":"Breath Analysis and Monitoring by Membrane Extraction with Sorbent Interface","year":2002,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Sorbent; Chromatography; Permeation; Extraction (chemistry); Membrane; Breath gas analysis; Flame ionization detector; Analytical Chemistry (journal); Cartridge; Gas chromatography; Adsorption; Organic chemistry","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":[0.0004407077,0.0006617325,0.0005393711,0.0005602569,0.000406744,0.0003348482,0.0004850042,0.0008294403,0.001187406],"category_scores_gemma":[0.0004983663,0.000265901,0.0003089554,0.0005603574,0.0002130677,0.0003447835,0.0003845933,0.0004914072,0.0007891069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446672,"about_ca_system_score_gemma":0.0004528085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007304063,"about_ca_topic_score_gemma":0.0009499377,"domain_scores_codex":[0.9993392,0.0001400173,0.00003493707,0.0001886178,0.0002313124,0.00006587456],"domain_scores_gemma":[0.9998326,0.00003631847,0.00002584634,0.00001741551,0.00006594136,0.00002184004],"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":[0.0001789887,0.00002834906,0.0007380222,0.0000554507,0.0000120894,0.00003724482,0.0000214329,0.0000449293,0.9922609,0.0000584878,0.00007930882,0.006484863],"study_design_scores_gemma":[0.00003899827,0.0007402484,0.004391571,0.00001244528,0.00004202314,0.000460191,0.00002553124,0.002517492,0.9878932,0.0001155962,0.003744055,0.00001868836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7086851,0.006604386,0.2767314,0.0002918074,0.0002168396,0.000916911,0.001759205,0.001584159,0.003210096],"genre_scores_gemma":[0.7362897,0.005320017,0.2458321,0.0005564374,0.0001610651,0.00129173,0.002042164,0.0001680105,0.008338732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187406,"threshold_uncertainty_score":0.003972292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007307803486176264,"score_gpt":0.2226985704054827,"score_spread":0.2153907669193064,"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."}}