{"id":"W2982909732","doi":"10.1109/tie.2019.2949520","title":"Multiresonant Chipless RFID Array System for Coating Defect Detection and Corrosion Prediction","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"RFID technology advancements","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chipless RFID; Pipeline (software); Coating; Antenna (radio); Acoustics; Materials science; Wireless; Radio-frequency identification; Electronic engineering; Resonator; Computer science; Engineering; Electrical engineering; Optoelectronics; Composite material; Physics; Telecommunications; Mechanical 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":[0.0001927292,0.0002174992,0.0002302423,0.0001889168,0.0002254858,0.00002705733,0.00008958778,0.0004143794,0.00000568275],"category_scores_gemma":[0.000009611013,0.0002350056,0.00008697879,0.0002471067,0.00002490517,0.0001704908,7.498368e-7,0.0006696691,0.00001233905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583583,"about_ca_system_score_gemma":0.00003662028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008081956,"about_ca_topic_score_gemma":0.00005565356,"domain_scores_codex":[0.9988121,0.00003196562,0.0003044051,0.0003000322,0.0001490741,0.0004024713],"domain_scores_gemma":[0.9995009,0.0001183982,0.00006772434,0.0002202487,0.00003858575,0.00005410936],"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":[0.0003185821,0.00005042848,0.0001168683,0.0001174128,0.00009037132,4.499456e-7,0.00006077608,0.1663387,0.7217674,0.00007089476,0.00001572066,0.1110524],"study_design_scores_gemma":[0.002916061,0.0006956817,0.00001972689,0.0001306144,0.00008883686,0.00002114072,0.0001059966,0.1505551,0.8436474,0.00002190785,0.001566278,0.0002313379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4353002,0.0001026878,0.5610112,0.000007772291,0.00196301,0.0008973028,0.00005332487,0.0006215455,0.0000429614],"genre_scores_gemma":[0.9991687,0.00008193927,0.0002637543,0.000004645856,0.00009286548,0.0002708113,0.000008053475,0.0000581998,0.00005104473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5638685,"threshold_uncertainty_score":0.9583248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326100990487373,"score_gpt":0.2102590068190934,"score_spread":0.1969979969142197,"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."}}