{"id":"W3135383665","doi":"10.20944/preprints202103.0081.v1","title":"Sensing and Delineating Mixed-VOC Composition in Air Using a Single Metal-Oxide Sensor","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pollutant; Acetone; Oxide; Volatile organic compound; Extraction (chemistry); Environmental science; Air quality index; Sensor array; Chemistry; Biological system; Environmental chemistry; Materials science; Analytical Chemistry (journal); Computer science; Chromatography; Meteorology; Organic chemistry","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":[0.0002680685,0.0003993073,0.0004668728,0.0003602775,0.0001503595,0.0005212608,0.0005419923,0.0005506893,0.0004041633],"category_scores_gemma":[0.0004189241,0.0001822849,0.0003243276,0.000310615,0.0002346621,0.0005030066,0.0003369751,0.0002633546,0.0002508053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926132,"about_ca_system_score_gemma":0.0001819447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00058847,"about_ca_topic_score_gemma":0.001524104,"domain_scores_codex":[0.9997136,0.00002643021,0.00001157382,0.0001178074,0.0001065288,0.00002399323],"domain_scores_gemma":[0.999877,0.0000467417,0.00001977834,0.00001712464,0.0000322337,0.000007219828],"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":[0.00004532855,0.0000204124,0.0009923414,0.00008865957,0.000009454982,0.00002827505,0.00002542432,0.0008145529,0.9912298,0.0001314288,0.00002834876,0.006585954],"study_design_scores_gemma":[0.000003795787,0.0001466807,0.001980432,0.000006257967,0.00002324902,0.0001120352,0.00004865697,0.03705761,0.9598069,0.0001236887,0.0006803904,0.00001026373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332182,0.001439396,0.162816,0.0000831873,0.00007077887,0.0000830424,0.0003627266,0.0005213852,0.001405243],"genre_scores_gemma":[0.9145732,0.0007783774,0.08334282,0.00004205705,0.00001320795,0.00004746924,0.0001353429,0.00002246209,0.001045002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00058847,"threshold_uncertainty_score":0.001417696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08753056850110734,"score_gpt":0.3041338530866838,"score_spread":0.2166032845855764,"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."}}