{"id":"W2731410203","doi":"10.1109/iwqos.2017.7969178","title":"Efficient group labeling for multi-group RFID systems","year":2017,"lang":"en","type":"preprint","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Group (periodic table); Computer science; Protocol (science); Group identification; Identification (biology); Efficient algorithm; Radio-frequency identification; Theoretical computer science; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003122381,0.0004404036,0.000533566,0.0001990621,0.0001676361,0.0001197502,0.0008791612,0.0006979305,0.00001093144],"category_scores_gemma":[0.00008884259,0.0004502772,0.0001386944,0.0000381143,0.00005881795,0.0000365735,0.0005576027,0.0006375104,0.00007053006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505624,"about_ca_system_score_gemma":0.00001164933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004630912,"about_ca_topic_score_gemma":0.0000352547,"domain_scores_codex":[0.9982552,0.00001228937,0.0004539184,0.0005697425,0.0001795628,0.0005292678],"domain_scores_gemma":[0.9982826,0.00004843284,0.0001574816,0.001366107,0.00007261031,0.00007277275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000886432,0.00009588897,0.0003016101,0.00194829,0.0003383184,0.00001000839,0.00004765796,0.9819424,0.004594878,0.005449141,0.0008099282,0.004453002],"study_design_scores_gemma":[0.0008741149,0.00002313515,0.0001058351,0.0004111363,0.00005105104,0.000003585046,0.00003370429,0.987098,0.0007544678,0.0002112186,0.009896096,0.0005376678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04674916,0.004801247,0.9331483,0.0000238095,0.008322528,0.00226451,0.0001310704,0.002910614,0.001648824],"genre_scores_gemma":[0.8462495,0.0002126446,0.1502282,0.00001462112,0.0002457785,0.001617814,0.0001517833,0.0001947453,0.00108492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7995004,"threshold_uncertainty_score":0.9997949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914808167350314,"score_gpt":0.2902202481562178,"score_spread":0.2510721664827146,"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."}}