{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003159763,0.0004839603,0.0002890126,0.0003047042,0.0001312896,0.0003492844,0.0004986124,0.0005207579,0.002893792],"category_scores_gemma":[0.0003167049,0.0001848972,0.0002955195,0.0002310511,0.0002228915,0.0005968985,0.0002417306,0.0003359898,0.001220065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592709,"about_ca_system_score_gemma":0.0001714088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002915054,"about_ca_topic_score_gemma":0.0005538305,"domain_scores_codex":[0.9997677,0.00003521745,0.00001010571,0.00006110343,0.000102991,0.00002290656],"domain_scores_gemma":[0.9998093,0.00005226098,0.00004711998,0.00002898444,0.00004792006,0.00001440186],"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":[0.00004763026,0.00001761387,0.00008941121,0.00005470259,0.000005379124,0.0000370599,0.00001722252,0.0003360347,0.9868966,0.0004663729,0.000198099,0.01183391],"study_design_scores_gemma":[0.00001238063,0.0003427401,0.0007228781,0.000006306119,0.00001944536,0.0001703442,0.00003068883,0.01034461,0.9779912,0.0002655151,0.01008134,0.00001260802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5442796,0.005532792,0.4287606,0.0007439529,0.0003437847,0.0002451173,0.0004373667,0.002792716,0.01686392],"genre_scores_gemma":[0.7166249,0.001636858,0.2642628,0.0002219014,0.000119134,0.00009000934,0.0004097452,0.0001002062,0.01653444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002893792,"threshold_uncertainty_score":0.009680748,"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."}}