{"id":"W4408145687","doi":"10.1109/tim.2025.3545196","title":"Sensitive Microwave Sensor for Detection and Quantification of Water in Adulterated Honey","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microwave; Materials science; Computer science; Telecommunications","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":[0.00005055227,0.00008016347,0.00009216426,0.0001548405,0.00003697605,0.000008520369,0.00001365454,0.00005608272,9.731956e-7],"category_scores_gemma":[0.000004530297,0.00007418996,0.00001610729,0.00009292881,0.00003358006,0.00005929253,3.270032e-7,0.00006574253,4.97065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070134,"about_ca_system_score_gemma":0.000002041935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008702199,"about_ca_topic_score_gemma":0.00007515354,"domain_scores_codex":[0.9995375,0.00001024039,0.0001772561,0.0001199602,0.00006866344,0.00008641266],"domain_scores_gemma":[0.9998246,0.00001720546,0.00001620496,0.00005561086,0.00007274932,0.00001363791],"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":[0.00006585073,0.0000201854,0.000006509518,0.00007640592,0.00002261335,7.483985e-8,0.0001615866,0.004626702,0.9209057,0.0000130002,0.000001703371,0.07409967],"study_design_scores_gemma":[0.0007832305,0.00003736202,0.0001526754,0.00005664,0.00001827383,9.693399e-7,0.000567732,0.006089834,0.9920843,0.0001012494,0.00003958049,0.00006810955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5367498,0.00001060645,0.4627723,0.00006241985,0.00009308748,0.0002290618,0.000009751867,0.00005220775,0.00002076874],"genre_scores_gemma":[0.9987631,0.00008560585,0.001049622,0.00001791802,0.000001683411,0.00006455315,0.000003543847,0.000005384321,0.000008591895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4620133,"threshold_uncertainty_score":0.3025379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012691369623331,"score_gpt":0.2370532297682642,"score_spread":0.2169263160720309,"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."}}