{"id":"W2066011705","doi":"10.1002/wcm.365","title":"Radio frequency identification: technologies, applications, and research issues","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"RFID technology advancements","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Barcode; Radio-frequency identification; Computer science; Identification (biology); Popularity; Telecommunications; Computer security; Transmission (telecommunications)","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":[0.000393862,0.0001192183,0.0001451203,0.0002281635,0.0006428868,0.00008332419,0.0006504394,0.0001245426,0.000001702947],"category_scores_gemma":[0.00001146868,0.0001362563,0.00001352452,0.0005080916,0.0005547439,0.0001246746,0.0004858531,0.0004016477,0.00001014297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005947045,"about_ca_system_score_gemma":0.000009404452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005671166,"about_ca_topic_score_gemma":0.0000230857,"domain_scores_codex":[0.9990433,0.00005127551,0.0003167118,0.0002330419,0.0001121465,0.0002434681],"domain_scores_gemma":[0.998338,0.0001644398,0.00004967051,0.001316729,0.0001084006,0.00002272238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.364315e-7,0.0001099688,0.009611238,0.000123291,0.00003751297,0.000001199093,0.0002316777,0.0004672672,0.02967601,0.1456091,0.0006017564,0.8135301],"study_design_scores_gemma":[0.001305183,0.0001337873,0.01620284,0.0003924863,0.00006078557,0.0001299735,0.005212915,0.3005708,0.02649838,0.1026596,0.5453547,0.001478557],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.676982,0.2451653,0.0662313,0.00148612,0.0001064811,0.002012737,0.00002381437,0.004214708,0.003777476],"genre_scores_gemma":[0.96749,0.01172728,0.02012391,0.0000030711,0.00002422973,0.0005063884,0.00003929147,0.00002318965,0.00006261331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8120516,"threshold_uncertainty_score":0.5556371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100268628323342,"score_gpt":0.3125390528523115,"score_spread":0.2915363665690781,"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."}}