{"id":"W4229997590","doi":"10.1109/jiot.2021.3103110","title":"Whispering-Gallery-Mode Microwave Sensing Platform for Oil Quality Control Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microwave; Whispering-gallery wave; Resonator; Computer science; Sensitivity (control systems); Microstrip; Materials science; Acoustics; Optics; Optoelectronics; Physics; Electronic engineering; Telecommunications; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005763905,0.0001701165,0.0003281137,0.0001045926,0.00005877386,0.0000970535,0.0001984032,0.0001125848,0.00003512273],"category_scores_gemma":[0.00008468441,0.0001728927,0.0002277383,0.00009046237,0.00002466306,0.0002151371,0.00001501148,0.0003521521,0.000004843674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443308,"about_ca_system_score_gemma":0.00005900674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002243122,"about_ca_topic_score_gemma":0.00002102312,"domain_scores_codex":[0.9986964,0.00002441288,0.0006271973,0.000154337,0.0002158786,0.0002817927],"domain_scores_gemma":[0.9990299,0.0001206493,0.0001866214,0.0001891588,0.0003788098,0.00009488122],"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":[0.00003669573,0.00003093515,0.00002839369,0.0001807633,0.0001985938,0.000006778695,0.0005246209,0.0002325754,0.9487478,0.0002367838,0.008339207,0.04143687],"study_design_scores_gemma":[0.000689833,0.00003918355,0.000008925675,0.0001942326,0.00004793616,0.0002590235,0.00006335259,0.01457298,0.9685691,0.001936247,0.01340357,0.0002155961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05879279,0.0007276424,0.9342527,0.00008866067,0.0004028284,0.0001088301,0.00000826577,0.0001420097,0.00547621],"genre_scores_gemma":[0.9715953,0.0002016249,0.02724783,0.0002330696,0.0002420719,0.00001131226,0.000005344239,0.00003605706,0.0004273885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128025,"threshold_uncertainty_score":0.705036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850501984057258,"score_gpt":0.2769721496122613,"score_spread":0.2484671297716887,"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."}}