{"id":"W2996614744","doi":"10.1002/jssc.201900769","title":"Recent advances in breath analysis to track human health by new enrichment technologies","year":2019,"lang":"en","type":"review","venue":"Journal of Separation Science","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Breath gas analysis; Complex matrix; Computer science; Sample preparation; Sampling (signal processing); Chromatography; Biochemical engineering; Chemistry; Engineering; Filter (signal processing)","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":[0.0008973133,0.00105078,0.001281105,0.002850503,0.0002489112,0.0009007552,0.0008579583,0.001121129,0.003649616],"category_scores_gemma":[0.0008189182,0.0003970348,0.0007171363,0.00250365,0.0004798241,0.001396177,0.0007569769,0.001494088,0.002606075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952049,"about_ca_system_score_gemma":0.0007142451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007591528,"about_ca_topic_score_gemma":0.000922026,"domain_scores_codex":[0.9996142,0.00005659331,0.00003506239,0.0001021342,0.0001617357,0.00003028667],"domain_scores_gemma":[0.9994084,0.0003239726,0.00005961515,0.0000213567,0.0001561754,0.00003056966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005799679,0.00009562721,0.0002657639,0.02068016,0.0001173496,0.0001701163,0.00005907044,0.0006830246,0.009738007,0.006279824,0.01139887,0.9504543],"study_design_scores_gemma":[0.00001154457,0.000181683,0.0008881693,0.001680263,0.0001442394,0.001086538,0.00005845053,0.0004188195,0.004471257,0.002833027,0.9881791,0.0000468842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002624584,0.9968699,0.0009815415,0.0001957659,0.0002122666,0.000007829203,0.00002381715,0.00001633384,0.001430126],"genre_scores_gemma":[0.001463844,0.9958683,0.001196338,0.0001718557,0.0002374594,0.00001273842,0.00004350331,0.000004034674,0.001001914],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003649616,"threshold_uncertainty_score":0.01220918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04894112229547527,"score_gpt":0.4171645892231887,"score_spread":0.3682234669277135,"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."}}