{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003423463,0.0004300136,0.0005325751,0.0003366661,0.0001718673,0.0004051626,0.0008517064,0.0009846288,0.0006406164],"category_scores_gemma":[0.0005031595,0.0002822361,0.0003047829,0.0003457474,0.000178585,0.0009270436,0.0003004064,0.0004382413,0.0004824518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001622114,"about_ca_system_score_gemma":0.000200526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009966111,"about_ca_topic_score_gemma":0.0001463234,"domain_scores_codex":[0.9996535,0.00007190186,0.00001684979,0.00008522189,0.0001416925,0.00003092829],"domain_scores_gemma":[0.9996808,0.00007731809,0.00005632322,0.00002618639,0.0001405526,0.00001891557],"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":[0.0002520244,0.00007121242,0.001791543,0.0003738495,0.00002351837,0.0002842614,0.00006283852,0.001160295,0.947534,0.0006720966,0.0006098151,0.04716449],"study_design_scores_gemma":[0.00002250176,0.001820065,0.004221529,0.00003079553,0.00007865398,0.001691285,0.0000816066,0.03372817,0.9468123,0.0002473102,0.01120715,0.00005863833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4053574,0.01148518,0.5732199,0.0005782583,0.0009338892,0.0001854259,0.0002910479,0.002162807,0.005786089],"genre_scores_gemma":[0.8372262,0.002586262,0.1520384,0.0003690138,0.00009738834,0.00006828654,0.0001849899,0.00003211475,0.007397424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009846288,"threshold_uncertainty_score":0.002143145,"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."}}