{"id":"W2905242569","doi":"10.1109/antem.2018.8572867","title":"An RFID Sensor for Early Expiry Detection of Packaged Foods","year":2018,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Antenna (radio); Conductivity; Computer science; Food industry; SIGNAL (programming language); Food products; Polymer; Electrical conductor; Electrical engineering; Automotive engineering; Telecommunications; Optoelectronics; Process engineering; Materials science; Engineering; Food science; Physics; Chemistry; Composite material","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":[0.00005198635,0.00006677926,0.0000814568,0.00006989086,0.00002929343,0.000003690391,0.00007570312,0.00008332199,0.00003240141],"category_scores_gemma":[0.00001867675,0.00006763465,0.00002002793,0.00008815655,0.0000420703,0.0001234548,0.000007280624,0.00004762666,0.00001693172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830575,"about_ca_system_score_gemma":0.000001788891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004555902,"about_ca_topic_score_gemma":0.0000344886,"domain_scores_codex":[0.9996061,0.000005242237,0.000113481,0.00009728844,0.00004382978,0.0001340311],"domain_scores_gemma":[0.9996705,0.00001407571,0.0000169213,0.0002329279,0.00004455343,0.00002103181],"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":[0.00001442326,0.00001317578,0.001100325,0.00001927733,0.00002509017,2.118241e-7,0.00007983557,0.00006075156,0.980918,0.000151674,0.00004611571,0.01757112],"study_design_scores_gemma":[0.0003135214,0.0003781236,0.004745757,0.000003802789,0.000005921426,0.000001026035,0.00006111874,0.004793518,0.9881482,0.0006325654,0.000838244,0.00007820603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7257377,0.000009098974,0.2728376,0.000005756154,0.0001936456,0.0001260518,0.000003049239,0.0003931297,0.0006939217],"genre_scores_gemma":[0.9808002,0.000002290534,0.01897407,0.000009653534,0.0000598726,0.00002805789,0.000001307271,0.00002058708,0.0001040135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2550624,"threshold_uncertainty_score":0.2758061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027702455383885,"score_gpt":0.2486296331959583,"score_spread":0.2383526086421195,"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."}}