{"id":"W2016074030","doi":"10.1109/icdcs.2014.67","title":"Generic Composite Counting in RFID Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Universal Software Radio Peripheral; Counting problem; Software-defined radio; Set (abstract data type); Software; Expression (computer science); Computer engineering; Algorithm; Telecommunications; Operating system; Programming language","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":[0.003941071,0.001303373,0.00152615,0.0015358,0.001306841,0.002993413,0.003388118,0.001675604,0.004036529],"category_scores_gemma":[0.009960117,0.0006203407,0.001230966,0.002915069,0.002036815,0.005288584,0.003068206,0.002170267,0.0009333191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629877,"about_ca_system_score_gemma":0.001650472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403389,"about_ca_topic_score_gemma":0.001208905,"domain_scores_codex":[0.994642,0.001231066,0.0003096458,0.001219473,0.001947408,0.0006504543],"domain_scores_gemma":[0.9944824,0.002649521,0.0006641557,0.001308745,0.0006882388,0.0002070119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002367156,0.00008765765,0.001131282,0.0003166137,0.00004662051,0.0003142562,0.000220993,0.4059361,0.00886206,0.4751419,0.004304084,0.1034016],"study_design_scores_gemma":[0.00001309199,0.00005796095,0.0002351631,0.00002186949,0.00002137103,0.0002274005,0.0000375907,0.8781524,0.004254191,0.1109434,0.006001522,0.00003405169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008672993,0.0002760161,0.9865605,0.0001118141,0.00004243442,0.00005050942,0.00006395971,0.0006146528,0.003607189],"genre_scores_gemma":[0.452458,0.0005891434,0.5404601,0.0002117645,0.0001945003,0.0002923568,0.0002794805,0.0002576487,0.00525699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004036529,"threshold_uncertainty_score":0.02084261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005326556212294151,"score_gpt":0.1854397866026319,"score_spread":0.1801132303903377,"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."}}