{"id":"W1986392810","doi":"10.1109/icsmc.2011.6083828","title":"Test firmware architecture for a flexible wireless physiological multi-sensor","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Firmware; Embedded system; Computer science; Architecture; Wireless sensor network; Wireless; Component (thermodynamics); Microcode; Operating system","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":[0.001149447,0.000803457,0.0004207888,0.001302513,0.0003371736,0.001044185,0.002748184,0.0008307382,0.008129856],"category_scores_gemma":[0.003034289,0.0003602627,0.0003532244,0.0003011109,0.0003457308,0.001382468,0.0007411534,0.001095988,0.002552828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006615224,"about_ca_system_score_gemma":0.000556043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007507885,"about_ca_topic_score_gemma":0.0005971532,"domain_scores_codex":[0.9986713,0.000233065,0.000140725,0.0002261021,0.0005960239,0.0001328447],"domain_scores_gemma":[0.9973235,0.0005492644,0.0002635145,0.0007116413,0.0009876731,0.0001646123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002044493,0.0008713932,0.01214502,0.0006303818,0.000246535,0.001681801,0.0005662423,0.03052543,0.3254762,0.01847326,0.02461457,0.5827248],"study_design_scores_gemma":[0.0004605942,0.003872705,0.01222463,0.0001609855,0.0002895949,0.00355287,0.0001165312,0.4134497,0.4822018,0.004848499,0.07857686,0.0002452843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06208092,0.0003617003,0.8995702,0.0003564729,0.0001879853,0.0004090542,0.0002514801,0.02949601,0.00728619],"genre_scores_gemma":[0.7726541,0.000255578,0.208886,0.0008977515,0.0001241259,0.0004906912,0.001084225,0.002187094,0.01342038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008129856,"threshold_uncertainty_score":0.02719712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04794390440842753,"score_gpt":0.2385133557975947,"score_spread":0.1905694513891672,"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."}}