{"id":"W2954613285","doi":"10.1145/3330139","title":"NQA","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"RFID technology advancements","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Collision; Key (lock); Radio-frequency identification; Algorithm; Identification (biology); Tree (set theory); Binary tree; Distributed computing; Computer engineering; Operating system; Mathematics; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001411622,0.0006151438,0.000649113,0.0006821599,0.001057006,0.001631179,0.001970051,0.001033642,0.02154301],"category_scores_gemma":[0.006231016,0.0002831349,0.0006652869,0.0007271868,0.0006390306,0.00195149,0.002168708,0.001175881,0.01133323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009514219,"about_ca_system_score_gemma":0.002657182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728804,"about_ca_topic_score_gemma":0.003221579,"domain_scores_codex":[0.9982115,0.000331364,0.0001460507,0.0004863504,0.0006495364,0.0001753276],"domain_scores_gemma":[0.9972042,0.0006715549,0.0001537246,0.0005904873,0.00125991,0.0001200098],"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":[0.0005126258,0.0002930948,0.002518044,0.0004895002,0.00005443847,0.0002052148,0.0002720504,0.03794762,0.01824136,0.1647279,0.03803177,0.7367064],"study_design_scores_gemma":[0.0002130084,0.0004118941,0.001024742,0.0001038737,0.00005503514,0.0009283448,0.0002346973,0.6170537,0.0149559,0.1358963,0.2290441,0.0000783983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006438716,0.0004283532,0.9665917,0.0004085813,0.0004203726,0.0004441764,0.0003661626,0.002519886,0.02238214],"genre_scores_gemma":[0.1555102,0.0005726282,0.8036904,0.0007937292,0.0001766949,0.000802345,0.001876506,0.0005714879,0.0360061],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.978457,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738090363421305,"score_gpt":0.220051718427122,"score_spread":0.2123136280637007,"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."}}