{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004663381,0.0001350067,0.0001332415,0.00004572241,0.00006609174,0.00002331866,0.0001284331,0.00007689437,0.0000181529],"category_scores_gemma":[0.000008219877,0.0001643118,0.00003325152,0.000214432,0.000009014847,0.0001460619,0.0000117664,0.0001270527,0.00002531848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360094,"about_ca_system_score_gemma":0.0000365616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.478902e-7,"about_ca_topic_score_gemma":0.00001485341,"domain_scores_codex":[0.9991174,0.00001071915,0.0002079457,0.000178099,0.00009260738,0.0003932458],"domain_scores_gemma":[0.999745,0.00001353719,0.00004555231,0.0001224985,0.00003087696,0.00004255473],"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":[0.00002289186,0.000008810062,0.0001002315,0.0001976665,0.00007859533,0.000001017016,0.00009239327,0.0007068111,0.9620969,0.0194731,0.0003758191,0.01684577],"study_design_scores_gemma":[0.003024194,0.001463566,0.0009740745,0.0000229353,0.0001212201,0.00001701426,0.0002614805,0.1767011,0.7317841,0.001934647,0.08298046,0.0007152254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6548226,0.0009983191,0.3403257,0.000765762,0.0002121834,0.0008254156,0.0000242881,0.001758345,0.0002673582],"genre_scores_gemma":[0.9978948,0.0002220442,0.001081249,0.0001324674,0.00008812684,0.0001807821,0.0003197384,0.00005384378,0.00002699011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430721,"threshold_uncertainty_score":0.6700439,"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."}}