{"id":"W4200232108","doi":"10.32920/17303294.v1","title":"A MAC Layer Protocol For Smart Indoor Inventory Management System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Latency (audio); Quality of service; Real-time computing; Queueing theory; Transmission (telecommunications); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001522965,0.0003577236,0.0003803296,0.0002144932,0.00003900844,0.00005596307,0.0004488151,0.000417891,0.0001187818],"category_scores_gemma":[0.00000627811,0.0003773173,0.0001410043,0.0001036421,0.00002160575,0.00006112313,0.0007562534,0.0004267525,0.00005349924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748442,"about_ca_system_score_gemma":0.00002384885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005616517,"about_ca_topic_score_gemma":0.00001681118,"domain_scores_codex":[0.9985027,0.00001801583,0.000432859,0.0004870265,0.0001878907,0.0003714692],"domain_scores_gemma":[0.998928,0.0000109117,0.00007655284,0.0008708334,0.00005809368,0.00005567513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004143712,0.001292912,0.0136711,0.4126572,0.01527321,0.001408167,0.0007342494,0.129395,0.004543425,0.1049327,0.2231405,0.09253717],"study_design_scores_gemma":[0.008440829,0.0001246676,0.0006134033,0.00712488,0.0003350034,0.000030522,0.001296641,0.1450562,0.05391569,0.002793381,0.7773573,0.002911527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001868659,0.00006451264,0.28196,0.00007464538,0.00185036,0.6367895,0.00003304593,0.005259614,0.07209966],"genre_scores_gemma":[0.01456175,0.00000315626,0.04368943,0.00004004159,0.00006279218,0.9387282,0.00004729611,0.0001043256,0.002763028],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5542167,"threshold_uncertainty_score":0.9998679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290805655678304,"score_gpt":0.2866836686586116,"score_spread":0.2576031030907812,"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."}}