{"id":"W4303857056","doi":"10.3390/mi13101651","title":"Comparative Study of Gravimetric Humidity Sensor Platforms Based on CMUT and QCM","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Natural Science Foundation of Shandong Province; University of Toronto; Strong; Shandong University of Science and Technology; Shandong University","keywords":"Quartz crystal microbalance; Materials science; Gravimetric analysis; Humidity; Ultrasonic sensor; Capacitive sensing; Relative humidity; Capacitive micromachined ultrasonic transducers; Repeatability; Geophone; Linearity; Sensitivity (control systems); Acoustics; Electrical engineering; Composite material; Electronic engineering; Chemistry; Engineering; Piezoelectricity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222751,0.000158421,0.0003256953,0.0002219663,0.0001498401,0.00001856972,0.00008024149,0.00002160896,0.0000529217],"category_scores_gemma":[0.00001056746,0.000136378,0.00003347525,0.0002687704,0.00002401158,0.00002593416,0.00004315912,0.0001104333,0.000003276144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002628166,"about_ca_system_score_gemma":0.000004738474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001397785,"about_ca_topic_score_gemma":0.00002425023,"domain_scores_codex":[0.9992803,0.00004563907,0.0002165927,0.0001600841,0.0001537135,0.0001436189],"domain_scores_gemma":[0.9996205,0.0001034367,0.00004696882,0.0001755479,0.0000177579,0.00003579124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001697581,0.0007988709,0.01652734,0.00009594786,0.0001239522,0.00005309417,0.005911267,0.1865688,0.7882944,0.00001378213,0.0008239554,0.0006187789],"study_design_scores_gemma":[0.00660746,0.004107425,0.3952011,0.00004104777,0.0001741359,0.00009436332,0.00670247,0.2554657,0.3286424,0.000188703,0.001497627,0.001277528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998976,0.0000958159,0.00001040733,0.000007020465,0.0002904802,0.0002509282,0.00006442329,0.0001036144,0.0002012969],"genre_scores_gemma":[0.9996839,0.000002369025,0.0002020829,0.00001592061,0.00002374978,0.000005971849,0.0000156475,0.00002048151,0.00002985952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.459652,"threshold_uncertainty_score":0.5561333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855854357249062,"score_gpt":0.2312481328177456,"score_spread":0.212689589245255,"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."}}