{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000010878,0.0001523467,0.0001969616,0.00002735466,0.00002540747,0.00002575234,0.00008787582,0.0001190392,0.0001565338],"category_scores_gemma":[0.00002624717,0.0001345534,0.00004353754,0.00033934,0.00007713372,0.00008016051,0.00002233292,0.0002515913,0.000006152767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007514998,"about_ca_system_score_gemma":3.483044e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004607653,"about_ca_topic_score_gemma":3.985985e-7,"domain_scores_codex":[0.9993106,0.000001617615,0.000133349,0.00021537,0.0001275415,0.0002115503],"domain_scores_gemma":[0.9996271,0.00004666305,0.0000188169,0.0002010337,0.00001703679,0.00008940863],"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":[0.000005393991,0.0000279165,0.002312871,0.00006660062,0.0003739618,0.00001202449,0.00001388256,0.004775151,0.990059,0.000002349632,0.0002619349,0.002088888],"study_design_scores_gemma":[0.0001124239,0.000006534766,0.0001117076,0.0000133674,0.0002216746,0.00001252066,0.00006580837,0.0387817,0.9600321,0.00001412131,0.000460394,0.0001676598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896923,0.0006102944,0.005469725,0.00008866694,0.000008693411,0.00002437469,0.000006418165,0.0004896469,0.003609925],"genre_scores_gemma":[0.9983796,0.000298196,0.0006482867,0.000002275403,0.00002737248,0.000004384553,0.000004455916,0.00001777664,0.0006176368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03400655,"threshold_uncertainty_score":0.5486928,"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."}}