{"id":"W4281698938","doi":"10.3390/s22114102","title":"Detection of Volatile Organic Compounds by Using MEMS Sensors","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Abdulaziz City for Science and Technology; CMC Microsystems","keywords":"Formaldehyde; Hydrogen sulfide; Benzene; Volatile organic compound; Aniline; Polymer; Polyaniline; Selectivity; Detector; Hydrogen sulfide sensor; Parts-per notation; Materials science; Microelectromechanical systems; Chemistry; Nanotechnology; Organic chemistry; Computer science; Catalysis; Sulfur; Polymerization; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003210427,0.0001482446,0.0002011321,0.00009205526,0.0001034841,0.000005967921,0.0001465424,0.00007408638,0.0001076967],"category_scores_gemma":[0.00004184958,0.0001723875,0.00005395766,0.0004323072,0.0000657989,0.00004632448,0.00007730308,0.000319206,0.000006036087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602464,"about_ca_system_score_gemma":0.00000239899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175792,"about_ca_topic_score_gemma":0.000003144546,"domain_scores_codex":[0.9991312,0.00001696988,0.0002302917,0.0001688517,0.0002068136,0.0002458424],"domain_scores_gemma":[0.9995781,0.00005896082,0.00005899171,0.0002460747,0.00002349667,0.00003433585],"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":[0.00000555422,0.000009708043,0.00005573548,0.0000159194,0.00001869742,0.000002589869,0.00005933341,0.141271,0.8577287,0.000003581639,0.0001425397,0.0006866113],"study_design_scores_gemma":[0.0001431983,0.00002834227,0.00001455281,0.000003595334,0.0000120167,0.00002604757,0.0005369697,0.08977798,0.9055323,0.0001555571,0.003597326,0.0001721264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978222,0.0001836732,0.0004563325,0.00001427739,0.0002170101,0.00009588495,0.00003612103,0.0008211001,0.0003534645],"genre_scores_gemma":[0.9993798,0.00001551882,0.0004120713,0.000006046769,0.0000202259,0.000004347938,0.00000774993,0.00005496646,0.00009934783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05149303,"threshold_uncertainty_score":0.7029759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008683623586944222,"score_gpt":0.2038568188506959,"score_spread":0.1951731952637517,"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."}}