{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322679,0.0002954891,0.0001882357,0.000259032,0.0001573408,0.0002344195,0.000270072,0.0002363324,0.0005711611],"category_scores_gemma":[0.0002290847,0.0001178955,0.0001391792,0.0001691007,0.0002062167,0.0002781569,0.0002629336,0.0001826816,0.0002775685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308665,"about_ca_system_score_gemma":0.0001097821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004184755,"about_ca_topic_score_gemma":0.0008403587,"domain_scores_codex":[0.9998088,0.00002170287,0.000008181312,0.00003600403,0.0001039577,0.00002130257],"domain_scores_gemma":[0.9999144,0.00002828514,0.00001807456,0.000005600381,0.00002624837,0.000007337254],"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":[0.00001602026,0.000006370384,0.0004667803,0.00003741534,0.000003077216,0.00002313631,0.00001128519,0.0001298942,0.9931753,0.0001462526,0.00006284334,0.005921585],"study_design_scores_gemma":[0.000002391905,0.0001346832,0.00141582,0.000004642611,0.000008713187,0.00009314642,0.00001830728,0.00217225,0.9935758,0.00005670446,0.002512665,0.000004967764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315929,0.006561357,0.05451363,0.0003753216,0.000156204,0.00008160006,0.0002808703,0.0003597432,0.006078398],"genre_scores_gemma":[0.966029,0.002410718,0.02891004,0.0001399615,0.00008743729,0.00004156035,0.0001492871,0.00001345818,0.002218391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005711611,"threshold_uncertainty_score":0.001910746,"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."}}