{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469707,0.0005542788,0.0004018122,0.0003326877,0.0001745765,0.0002934528,0.0008971264,0.0007320351,0.008019167],"category_scores_gemma":[0.0002444809,0.0002261252,0.0002283473,0.0001955205,0.0001485888,0.0003432709,0.0003442332,0.0003066231,0.00180115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276937,"about_ca_system_score_gemma":0.0001543958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003829005,"about_ca_topic_score_gemma":0.0006193978,"domain_scores_codex":[0.9997723,0.00001584254,0.0000111216,0.00009243048,0.00008517595,0.00002320093],"domain_scores_gemma":[0.9998779,0.00003567405,0.00002628819,0.00001723979,0.00002888386,0.00001401147],"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":[0.0001938655,0.00008156358,0.0004893418,0.0001781606,0.00001529837,0.0002127381,0.00002677476,0.00005749632,0.9762191,0.0001645786,0.001839439,0.0205217],"study_design_scores_gemma":[0.00007934179,0.001351704,0.006792002,0.00004379501,0.00008299104,0.001437427,0.00004403965,0.00435038,0.963741,0.0001266366,0.02189175,0.00005892066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.776848,0.01000965,0.1727517,0.001319763,0.002055101,0.00104961,0.005549716,0.009714869,0.02070159],"genre_scores_gemma":[0.9232627,0.001403735,0.04306674,0.001396626,0.0001990999,0.0003731551,0.001059296,0.0001102807,0.02912834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008019167,"threshold_uncertainty_score":0.0268268,"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."}}