{"id":"W4399659291","doi":"10.1088/1752-7163/ad5863","title":"Benchmarking breath analysis using peppermint approach with gas chromatography ion mobility spectrometer coupled to micro thermal desorber","year":2024,"lang":"en","type":"article","venue":"Journal of Breath Research","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Ion-mobility spectrometry; Benchmarking; Chemistry; Chromatography; Gas chromatography; Breath gas analysis; Spectrometer; Mass spectrometry; Analytical Chemistry (journal); Process engineering; Engineering; Physics","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":[0.002524706,0.001037925,0.0005986266,0.0009080553,0.0006815562,0.0007693557,0.0009254343,0.000883574,0.001261519],"category_scores_gemma":[0.002103473,0.0003553226,0.0004961939,0.0007161372,0.0004563418,0.0005358045,0.001078847,0.0005773176,0.0006012343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003910877,"about_ca_system_score_gemma":0.0007037776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356936,"about_ca_topic_score_gemma":0.002635606,"domain_scores_codex":[0.9973042,0.000701769,0.0001684268,0.0007322325,0.0009500327,0.0001432914],"domain_scores_gemma":[0.9992416,0.0001207935,0.0001310011,0.0001147011,0.0003440318,0.00004791862],"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":[0.0008513988,0.0001432153,0.005336079,0.0001592864,0.00007666623,0.00006639386,0.0001397679,0.0004093538,0.9751135,0.0001760429,0.0003530284,0.01717522],"study_design_scores_gemma":[0.00002790144,0.00202533,0.02104723,0.00003687514,0.00007783771,0.0003124556,0.0001395977,0.005618904,0.9674413,0.0002357153,0.002969142,0.0000676707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7848701,0.002448552,0.2030898,0.0003261874,0.0002231066,0.001453049,0.003118348,0.002094651,0.00237608],"genre_scores_gemma":[0.7707722,0.001321425,0.2190084,0.000591601,0.00005192173,0.001789951,0.00270232,0.000288041,0.003474132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002524706,"threshold_uncertainty_score":0.0133521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456228755301939,"score_gpt":0.3177203823582977,"score_spread":0.2831580948052784,"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."}}