{"id":"W2997759229","doi":"10.3390/electronics9010106","title":"Electromagnetic Soil Characterization for Undergrounded RFID System Implementation","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"RFID technology advancements","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Plan for Science, Technology and Innovation; King Abdulaziz City for Science and Technology","keywords":"Antenna (radio); Chip; Engineering; Electronic engineering; Computer science; Electrical 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":[0.0002000241,0.0002851357,0.000212863,0.0003717942,0.0001684681,0.0003405892,0.0003342878,0.0003012754,0.002160658],"category_scores_gemma":[0.0005527143,0.0001256794,0.0001434474,0.0003383823,0.0001236675,0.0003800945,0.0001920183,0.0001401021,0.000837817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671291,"about_ca_system_score_gemma":0.0002005004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005318702,"about_ca_topic_score_gemma":0.0008344508,"domain_scores_codex":[0.9997838,0.00004436132,0.00001496796,0.00003905729,0.00008439457,0.00003338619],"domain_scores_gemma":[0.9996107,0.0001025969,0.00005840426,0.00006274115,0.000150939,0.00001462441],"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":[0.0003771278,0.00007624219,0.009985439,0.0002914896,0.00002982648,0.0003716361,0.0002083091,0.01121146,0.9053382,0.0005652533,0.0004858633,0.07105924],"study_design_scores_gemma":[0.00002894497,0.001093206,0.02335561,0.00003495574,0.00005946587,0.0006499263,0.0003007622,0.05428732,0.908137,0.0003872619,0.01163088,0.00003466047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7693127,0.0002652247,0.2244806,0.00007732219,0.0000424338,0.000102678,0.000618119,0.001257249,0.00384371],"genre_scores_gemma":[0.9833416,0.00009245182,0.0146978,0.00002304923,0.000004105497,0.00003502542,0.0002121981,0.00004340475,0.001550432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002160658,"threshold_uncertainty_score":0.007228136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007472103922074113,"score_gpt":0.2238932032721613,"score_spread":0.2164210993500872,"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."}}