{"id":"W3087500558","doi":"10.1007/s13369-020-04915-7","title":"Evaluation of MAC Protocols for Vital Sign Monitoring within Smart Home Environment","year":2020,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for International Peace and Security; Université du Québec à Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Computer science; Vital signs; Identification (biology); Protocol (science); Real-time computing; Ranking (information retrieval); Analytic hierarchy process; Process (computing); Sign (mathematics); Fuzzy logic; Embedded system; Engineering; Artificial intelligence; Operations research","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":[0.001898863,0.0001200019,0.0001528479,0.00009017349,0.0001340492,0.00008682271,0.0001837927,0.00003595907,0.000002246018],"category_scores_gemma":[0.0001735898,0.0001191071,0.00004530976,0.0001775232,0.00004858975,0.0004437572,0.00002118963,0.0001269499,7.180765e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265521,"about_ca_system_score_gemma":0.00005956184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.322471e-7,"about_ca_topic_score_gemma":8.663391e-8,"domain_scores_codex":[0.9987455,0.000006820233,0.0002659702,0.0001517241,0.0005482951,0.0002817148],"domain_scores_gemma":[0.999485,0.00004278353,0.00005319731,0.00008084033,0.0001442252,0.0001940215],"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":[0.00000944692,0.000004507357,0.0002766083,0.00009883094,0.00001981291,5.891699e-7,0.0006481872,0.8620832,0.1219563,0.00005922297,0.00002765397,0.01481558],"study_design_scores_gemma":[0.0005859769,0.0001772664,0.00115066,0.0001339365,0.00003378384,0.00001403937,0.0001127872,0.9513938,0.04577843,0.0001406633,0.0003180446,0.0001606414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7655332,0.0002865743,0.2283313,0.0001314287,0.0007460727,0.004838886,0.000009559832,0.00008205193,0.00004089768],"genre_scores_gemma":[0.98977,0.00001167607,0.009020305,0.000004727608,0.0002821402,0.0008848998,5.125652e-7,0.00002416136,0.000001579989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2242368,"threshold_uncertainty_score":0.4857047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311041413489946,"score_gpt":0.2693230384834758,"score_spread":0.2262126243485763,"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."}}