{"id":"W3216593599","doi":"10.1002/advs.202103853","title":"Handheld Device for Selective Benzene Sensing over Toluene and Xylene","year":2021,"lang":"en","type":"article","venue":"Advanced Science","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Toluene; Benzene; Xylene; Mobile device; Materials science; Chemistry; Chromatography; Computer science; Organic chemistry; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001280412,0.0001037205,0.000149819,0.00004885723,0.0001925189,0.00008418902,0.00005463558,0.00003049171,0.000002845065],"category_scores_gemma":[0.0001578718,0.0001080983,0.00001998265,0.0003496398,0.00008623528,0.0002543023,0.00002951479,0.00004159156,0.000002269944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050674,"about_ca_system_score_gemma":0.00003645803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006055395,"about_ca_topic_score_gemma":0.00003236326,"domain_scores_codex":[0.9991664,0.000006993715,0.000127231,0.0002798325,0.0001113816,0.00030813],"domain_scores_gemma":[0.9995418,0.00007155983,0.00002148828,0.0001432039,0.0001438901,0.00007809002],"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":[0.00000471541,0.000002766471,0.00003205872,0.00001873549,0.00000379894,0.000006877784,0.0001484841,0.004950968,0.9891188,0.0001220075,0.00002277151,0.005568001],"study_design_scores_gemma":[0.0002766894,0.00002257437,0.002191077,0.00003624788,0.000006161792,0.00003992441,0.00005924646,0.02554407,0.969957,0.0005353132,0.001178175,0.0001535479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947066,0.0004153927,0.00354906,0.00005500073,0.0004761085,0.00009254977,0.000006577502,0.0001050503,0.0005936029],"genre_scores_gemma":[0.9600399,0.0000497761,0.03967396,0.0001064224,0.00004093055,0.000001303719,0.000001493785,0.00001567182,0.00007056447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0361249,"threshold_uncertainty_score":0.440812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008968233849245505,"score_gpt":0.2388568479753689,"score_spread":0.2298886141261234,"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."}}