{"id":"W4320712929","doi":"10.1109/jsen.2023.3242172","title":"Design and Analysis of a Novel Quartz Crystal Microbalance Utilizing Distributed Mass Loading Area for Improved Sensitivity","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor; CMC Microsystems","keywords":"Quartz crystal microbalance; Electrode; Sensitivity (control systems); Materials science; Trapping; Mass distribution; Analytical Chemistry (journal); Quartz; Optoelectronics; Chemistry; Electronic engineering; Composite material; Adsorption; Physics; Chromatography","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":[0.0005723917,0.0001902817,0.0004457709,0.0004806167,0.0001104482,0.00005358171,0.0000935992,0.0001393758,0.000001892025],"category_scores_gemma":[0.0002536791,0.0001867627,0.0001556835,0.0009308649,0.00007865056,0.00009211111,0.00001789416,0.0002640738,5.194362e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067926,"about_ca_system_score_gemma":0.0000184408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002520253,"about_ca_topic_score_gemma":0.000002392984,"domain_scores_codex":[0.9989021,0.00003145295,0.0003461337,0.0001796303,0.0001287506,0.0004118969],"domain_scores_gemma":[0.9989792,0.0005256559,0.0001320737,0.0001600526,0.0001226807,0.00008041372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000188285,0.000006838915,0.0001460597,0.00002990352,0.000459185,0.00002092813,0.00005580053,0.3361165,0.6624891,0.000004116716,0.0003066286,0.0003462223],"study_design_scores_gemma":[0.0004346252,0.00002954839,0.0007283603,0.00004312349,0.0003259407,0.0000977522,0.0003632962,0.9081993,0.08950787,0.0000651185,0.00003248074,0.0001726463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4652596,0.0000568955,0.5340357,0.00003033316,0.000100784,0.0000999171,0.0002133738,0.0001998947,0.000003466582],"genre_scores_gemma":[0.9730489,0.00009496174,0.02676327,0.000003623515,0.00003476357,0.000003595013,0.00001262311,0.00003018989,0.000008058828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5729812,"threshold_uncertainty_score":0.7615963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079998343807783,"score_gpt":0.2479563028602791,"score_spread":0.2171563194222013,"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."}}